{"as_of":"2026-08-10T20:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1d6dbb77c98fecfb3bdd292406f7b7d03b0757cc72435cca96e5c7e3af632224","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:46:46.510735Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2506.23547/citation-record","integrity":"/paper/2506.23547/integrity","json":"/paper/2506.23547/citation-record.json","paper":"/paper/2506.23547"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1802.00153","last_updated":"2019-05-31T04:23:06Z","snapshot_observed_at":"2026-08-10T01:12:10.115667Z","submitted_at":"2018-02-01T04:29:56Z","title":"Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network","version":5},"cited_work":{"arxiv_id":"1802.00153","doi":null,"metadata_source":"pith","pith_arxiv_id":"1802.00153","snapshot_observed_at":"2026-08-06T21:46:46.630099Z","title":"Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network","venue":"cs.CV","work_id":"dc922ad7-9fde-4444-947a-ba222fb679ff","year":2018},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:42.382496Z"},"links":{"cited_paper":"/paper/1802.00153","citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:87c423e9484993059f75138230a17e965c5854360b426f01912afdc5eba10991","observation_id":"c58ca121-af7a-465a-801d-53c9f834bb3a","resolution":{"observed_at":"2026-08-06T21:46:46.698327Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:56.116257Z","title":"Deep white- balance editing","venue":null,"work_id":"02e4611e-94c6-40c6-87ac-1912613888bf","year":2020},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:42.419456Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:97c11d357d2a530174648acdba81c1eb18d76e9bff13d9a1bfe337dc1ad1ce6f","observation_id":"5831f42e-4dc7-440e-ac32-c8be22f57584","resolution":{"observed_at":"2026-08-06T21:46:56.195930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:56.024756Z","title":"When color constancy goes wrong: Correcting improperly white-balanced images","venue":null,"work_id":"2eddff96-3caa-4e27-9f66-e7de0355c9cf","year":2019},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:42.498817Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:b2ad2fe30f7576cc3a8538fa5a64c90ab835a7f0eda2d597516266ac7bf3fa11","observation_id":"5ace8d2c-3e24-4f67-afb3-570d07ac7800","resolution":{"observed_at":"2026-08-06T21:46:56.074874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1712.00436","last_updated":"2019-03-19T09:58:28Z","snapshot_observed_at":"2026-08-01T08:36:37.175265Z","submitted_at":"2017-12-01T18:38:36Z","title":"Unsupervised Learning for Color Constancy","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.00436","snapshot_observed_at":"2026-08-06T21:46:42.587265Z","title":"Un- supervised learning for color constancy.arXiv preprint arXiv:1712.00436, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:42.587265Z"},"links":{"cited_paper":"/paper/1712.00436","citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:d1753b21a85a68bc61c2ac50c52f60986f25af7c4f6c2d8211a45daa1ccf128a","observation_id":"9cfcfe95-678f-41fd-9299-ddaf41d072a0","resolution":{"observed_at":"2026-08-06T21:46:42.587265Z","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":"2026-08-06T21:46:55.914753Z","title":"Bruna, Filippo Naccari, and Raimondo Schettini","venue":null,"work_id":"5f551789-9e23-4351-8f89-0daebb990ed0","year":2013},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:42.628242Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:b9eb26a2ba2e6a27ffaaf2793fae64cf70081605338489ebf089ea9af291fef0","observation_id":"b6f07703-ddc6-4b60-af2f-3c95113ec575","resolution":{"observed_at":"2026-08-06T21:46:55.948508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:55.748781Z","title":"Foundations of Data Science","venue":null,"work_id":"62f708e6-1b26-4f66-887f-748ad7d08ac6","year":2015},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:42.722438Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:a82b92503cdb96c29dbcd725f27546f6de8358ad5762bf0dba602e261261874f","observation_id":"33321c51-e582-4fd5-b48c-eab90b690483","resolution":{"observed_at":"2026-08-06T21:46:55.843859Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:55.647605Z","title":"Boyd and Lieven Vandenberghe","venue":null,"work_id":"f82ece9e-9690-4919-ae1b-ff2189f90506","year":2004},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:42.768843Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:6e492f2a1fcf320501716c4ddf37d05fdbc4c83a985f8fbf906579b0f9bd08f0","observation_id":"612af8da-ebc2-4da9-b10f-18295a8e4b97","resolution":{"observed_at":"2026-08-06T21:46:55.680058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:55.536560Z","title":"Parameter values for the HDTV standards for production and international pro- gramme exchange","venue":null,"work_id":"c5e478a0-e3e7-4562-8170-f8e3164300cb","year":2002},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:42.802451Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:e911b9bd69a2b07545ee655713281968eace6a674931d03f7272a9855399aa20","observation_id":"4b480408-7eba-45af-aa1a-e1173bb12eaf","resolution":{"observed_at":"2026-08-06T21:46:55.584801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:55.405626Z","title":"Learning photographic global tonal ad- justment with a database of input/output image pairs","venue":null,"work_id":"1d8d6827-a76a-49d9-8107-5be863abba02","year":2011},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:42.888535Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:21ed9edd257ddfbfd2aa53559534ef7c4db29c088295859829ac49b9e35fb6dd","observation_id":"e74ca199-5ab0-4829-8f9e-5d6dbe513e5d","resolution":{"observed_at":"2026-08-06T21:46:55.478025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:55.175784Z","title":"Retinexformer: One- stage retinex-based transformer for low-light image enhancement","venue":null,"work_id":"09fc8a0f-766e-4421-a1ed-eec205e83f8b","year":2023},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:42.981066Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:a9174136d0cddbeb3d449f1202e39a850c14a1be4675ee8a3cfb16ceeec1ec79","observation_id":"d5136be3-df9f-46da-99ad-3e90d6d9ad6d","resolution":{"observed_at":"2026-08-06T21:46:55.299351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:54.923010Z","title":"Learning to see in the dark","venue":null,"work_id":"a0cfa8fb-627b-4857-b920-d22ebd1fe717","year":2018},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.028815Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:3a71bde92e1d30b3186e07122c246cb0c8b3fd7eff7a0565f2705d10b50da360","observation_id":"b6124a42-59b3-4838-babb-1876095c4297","resolution":{"observed_at":"2026-08-06T21:46:55.007572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:54.630347Z","title":"Seeing motion in the dark","venue":null,"work_id":"103aa990-9fed-421b-a4af-f5fc0e58e6f4","year":2019},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.079754Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:0d05cdffedbd66ed2b4ddce2ac80a973a218dc39bdd26b5e0527009089e08713","observation_id":"b5b65727-34e3-4f14-860d-7fa6ca3a3db9","resolution":{"observed_at":"2026-08-06T21:46:54.776094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:54.446265Z","title":"Pre-trained image processing transformer","venue":null,"work_id":"cc097e60-8964-43fb-b3db-97e7c0d280a1","year":2021},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.135086Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:fb9808d782c73780269b2efdb99dd37d7e03f56eb4e05956a60fc4d0b9402071","observation_id":"f8815b0e-475c-45ea-bed3-819e69b2d535","resolution":{"observed_at":"2026-08-06T21:46:54.511088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:54.312252Z","title":"Raise: A raw images dataset for digital image forensics","venue":null,"work_id":"26b618ef-24a8-4675-b0a1-9c8a967e4394","year":2015},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.157734Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:f6fb02ffdff81dd873c4fe5018222598164965e35e98c2d464126abc5445ee9b","observation_id":"eceb4eea-3463-4d13-9bfe-e383e0ee76cf","resolution":{"observed_at":"2026-08-06T21:46:54.366915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:54.180630Z","title":"ImageNet: A large-scale hierarchical image database","venue":null,"work_id":"1c1174bb-7ef5-45b4-b08b-a63594960b24","year":2009},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.185347Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:ca870f45e445877b5df0ac0d6dbbca9c5fbd45c629b2aee313920c069c62f633","observation_id":"07e40acc-ec65-48f0-a4ac-d7f6146741b6","resolution":{"observed_at":"2026-08-06T21:46:54.235831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:54.049177Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":"e54fc98d-25c5-4b2f-a8ef-6985a3215b86","year":null},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.218825Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:1a05c77cf983d21e14258ffbf4c318249cdb7b31810e72fb42c16d2862f72df5","observation_id":"6d4d0790-a2d2-436d-96ba-0bf1c4276c35","resolution":{"observed_at":"2026-08-06T21:46:54.122349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:53.947464Z","title":null,"venue":null,"work_id":"be3a1c56-7160-41c1-b02f-933ce899774a","year":2007},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.264501Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:c638cc002a33f6a890c2f513adb8113de009f13934de719a67e44becae1a13d2","observation_id":"449e5360-923d-4c17-917f-9af1832f2067","resolution":{"observed_at":"2026-08-06T21:46:54.003451Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:53.847203Z","title":"Image dehazing transformer with transmission-aware 3D position em- bedding","venue":null,"work_id":"ccbb10dd-b046-4b2b-ab44-904579e7b918","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.317329Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:f958d19f9f81a6cc6585d470edadd71010a359cea672e2b3bbee1a059991e7b7","observation_id":"9b10e72c-060b-4fc6-bda1-b662f923478e","resolution":{"observed_at":"2026-08-06T21:46:53.896870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:53.714993Z","title":null,"venue":null,"work_id":"d4addda8-3561-40a6-b7c3-db4911090c43","year":1989},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.347606Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:27bf2d710b486752846eaa6b3e923c6f08e27334acf25fe8376b5fb0d286dc2c","observation_id":"63b59f19-04b7-48f0-ad82-b8c67e1f783a","resolution":{"observed_at":"2026-08-06T21:46:53.761214Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:53.605211Z","title":"When fast Fourier transform meets transformer for image restoration","venue":null,"work_id":"f591e9aa-7666-460c-aa1a-067bdd420a96","year":2024},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.405378Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:ae93d359a1581120ebdd31a3df0b02d0e178a1a11a8d8733497ceeaff21d168f","observation_id":"702a686f-5ea8-418d-ba80-726394ab44d7","resolution":{"observed_at":"2026-08-06T21:46:53.673682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:53.493538Z","title":"PieNet: Personalized image enhancement network","venue":null,"work_id":"b3654056-2c70-45d7-b489-9590fc0b6d4e","year":2020},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.465766Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:1ef81d039ca6fc0629f5abf8e7aa2d2bee076719e73b4173e48812d1cf89b91c","observation_id":"6ac81f0c-ce0e-43c1-b98f-45f2e086cc28","resolution":{"observed_at":"2026-08-06T21:46:53.534079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:53.373047Z","title":"Image-adaptive 3D lookup tables for real-time image enhancement with bilateral grids","venue":null,"work_id":"4bf5c0cd-bfde-47f2-9572-dc2b442f092c","year":2024},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.489363Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:9eacd61d79b4f4c34e7d810b59e4cc1da0d67ec59f8e36a59ffa10b4807ebba2","observation_id":"dcb3fee4-32b0-4455-823f-351e26c3ca95","resolution":{"observed_at":"2026-08-06T21:46:53.416909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:53.247913Z","title":"ParamISP: Learned forward and inverse ISPs using camera parameters","venue":null,"work_id":"b48bf6f9-b5cc-4fc4-bee8-bb2379b82dd1","year":2024},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.525405Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:56a1bf4b303db7c912529826f9dfbaf7c3f4a7dd2252269f90e5b75ed90e08b8","observation_id":"6e0bd2e2-19c7-49f3-8f41-89bffc411964","resolution":{"observed_at":"2026-08-06T21:46:53.305011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:53.086637Z","title":"Contrast enhancement based on layered difference representa- tion of 2D histograms","venue":null,"work_id":"02941034-aacd-41d7-ae80-18708a8723d5","year":null},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.593553Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:3ff24ac65524bf012e3f3136f829619e8576643aac48856ab701cc1e63279c56","observation_id":"0e9fb62b-7314-43a4-aa0f-255e45ba5dda","resolution":{"observed_at":"2026-08-06T21:46:53.140548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:52.893020Z","title":"Feature mod- ulation transformer: Cross-refinement of global rep- resentation via high-frequency prior for image super- resolution","venue":null,"work_id":"486152c5-6ebd-45da-b37d-27c8ed391204","year":2023},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.653970Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:83ce5ace09f20850d69458e41d34e9706be0f866f39f173eae4ba19e8ad35150","observation_id":"5e7841b0-4355-4c67-8dec-6dd32f3975db","resolution":{"observed_at":"2026-08-06T21:46:52.996124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:52.776107Z","title":"Bench- marking single-image dehazing and beyond","venue":null,"work_id":"66b729e1-c97a-4ef2-b9d3-8fa43a0eb06d","year":2018},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.698911Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:8772e44c62dae17465113f32e880c01a11c164ca904415f86d9fe375863a40ce","observation_id":"666bf29c-eef9-4aa6-8400-913dba775489","resolution":{"observed_at":"2026-08-06T21:46:52.831578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:52.664817Z","title":"An un- derwater image enhancement benchmark dataset and beyond","venue":null,"work_id":"88b9731a-5502-412d-aca1-c34b9bd79e6a","year":2019},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.751140Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:d8584a166623407bf8645ef9e5653e6bbad9afc682568551c9d1baa38e6fc301","observation_id":"7cff2adc-b93c-45f3-9870-72a8b4a97a00","resolution":{"observed_at":"2026-08-06T21:46:52.692956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:52.574464Z","title":"Underwater image enhancement via medium transmission-guided multi- color space embedding","venue":null,"work_id":"3ee33022-38e9-436c-8c43-164d0e8d9fa9","year":null},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.827567Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:c38324c9abd5af7b59a342b6f153bb0f9c82eb42101ec640fc16f310dbe7fb83","observation_id":"946da481-32cb-4588-a0be-f95803e011e0","resolution":{"observed_at":"2026-08-06T21:46:52.611777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:52.387634Z","title":"Efficient and explicit modelling of image hierarchies for image restoration","venue":null,"work_id":"f1676a9a-2255-4deb-b644-30dea321690e","year":2023},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.876331Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:9519084be64de1b78b80d46a6b57c77cedc993c904dfb84f1cae8096619f99d5","observation_id":"1645bcf7-4787-4ca2-92bc-d97c7a048486","resolution":{"observed_at":"2026-08-06T21:46:52.484217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:52.299001Z","title":"SwinIR: Image restoration using swin transformer","venue":null,"work_id":"5e9253a4-f813-4cfa-8399-5a8fb8d60a8d","year":2021},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:43.936234Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:ced317897d2c648db0b2e5e8b24379dccb0bacff4166f094a67b5204ac870622","observation_id":"d5cdb89a-f8ce-429c-9d5f-44074eb6a07c","resolution":{"observed_at":"2026-08-06T21:46:52.342378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:52.219980Z","title":"PPR10k: A large-scale portrait photo retouching dataset with human-region mask and group-level consistency","venue":null,"work_id":"e4501012-2145-44b0-8bf3-0f2d942c99aa","year":2021},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.001649Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:33cfdc5201fc4a7c08d19ad5f71981a2bf729b68de641871755660cfc4ccb635","observation_id":"b4ac6a37-1b58-42a1-aa4a-02ac39eb3ecf","resolution":{"observed_at":"2026-08-06T21:46:52.254611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:52.136859Z","title":"Recurrent video restoration transformer with guided deformable attention","venue":null,"work_id":"04b3f93f-7b46-4ee7-bca2-f8ce021a40b6","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.032402Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:e434511b0862aaae8ebdc86cb45dbdb36dce54d3525a27bbf7e0f15e5ae3cd94","observation_id":"c56672fd-d280-41fa-b04e-2b1714740c69","resolution":{"observed_at":"2026-08-06T21:46:52.173589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:44.114265Z","title":"Decoupled weight decay regularization","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.114265Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:2b1a22ab07f8b95558232731df1570c331fd162ee0988591ce32abb8baab0cbe","observation_id":"943d0f23-3f01-48f9-8a13-e9b204fde347","resolution":{"observed_at":"2026-08-06T21:46:44.114265Z","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":"2026-08-06T21:46:51.928270Z","title":"U-shape transformer for underwater image enhancement","venue":null,"work_id":"68f7494a-fd0f-4d96-89d6-05ef67a20364","year":2023},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.160353Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:4d01e9bfb2840bc1d98919bbdec52b72eb2c1f530b3fb80950c0a9c41c5e966e","observation_id":"82633a4f-fa6c-452f-99a6-8248c55fa0c2","resolution":{"observed_at":"2026-08-06T21:46:52.063271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:51.636519Z","title":"MB-TaylorFormer: Multi-branch efficient transformer expanded by Tay- lor formula for image dehazing","venue":null,"work_id":"22739324-f17a-4c39-912d-663d56406cca","year":2023},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.212554Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:0d9b763bfef633675bc0f6fd2f444a3ff65c8d90e7e2e19183580a3c30ab76e5","observation_id":"d08f0bb0-b5b2-497b-9665-7f50c0e14efb","resolution":{"observed_at":"2026-08-06T21:46:51.778781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:51.345994Z","title":"DeepISP: Toward learning an end-to-end image pro- cessing pipeline","venue":null,"work_id":"29acc7c2-a662-4382-beab-39d5933c4b5e","year":2018},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.293585Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:070f422f70013ac70bdb9d414ac47bf6bec6d4802c672bd273b82d984cc877bc","observation_id":"a2cb5f2f-41c7-45f2-a8ea-d8d2ca28463d","resolution":{"observed_at":"2026-08-06T21:46:51.459916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:51.138298Z","title":"Tempformer: Temporally consistent transformer for video denoising","venue":null,"work_id":"ff5d4882-e6bd-427f-be6f-d037a964e12e","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.341088Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:841ff7ed5d8276b75c2c0cafa389b7e3971721d6492c3e330e118dcf9704d5f4","observation_id":"bf8e8c7e-6211-47c6-92dd-d6587e5149d1","resolution":{"observed_at":"2026-08-06T21:46:51.235795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:50.970753Z","title":"Underwater image enhancement by transformer-based diffusion model with non-uniform sampling for skip strategy","venue":null,"work_id":"b7b14a4e-2e1d-48c0-8397-0bcf3a91c585","year":2023},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.378952Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:b93bda37394ede3f6d7a66bd5091b509b3f1b31182906fbe8cf4b4c9f8fcd281","observation_id":"ec1740d6-d667-4ba4-8463-708546a89f60","resolution":{"observed_at":"2026-08-06T21:46:51.065148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:50.730227Z","title":"Bilateral filter- ing for gray and color images","venue":null,"work_id":"6447501b-d1b7-479e-afd8-b58de8a9c621","year":1998},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.436240Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:11bf3e94d7386eaa46a646ea2bdbe5bd7669f18a9cb7d924829000309ab16864","observation_id":"74e96be8-c7d5-4417-b016-7f20389ade6d","resolution":{"observed_at":"2026-08-06T21:46:50.824152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:50.487370Z","title":"Training data-efficient image transformers & distillation through attention","venue":null,"work_id":"9439fc3e-687d-4103-8fb8-15e609c55928","year":2021},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.491815Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:4f42698c8ee60a7c00b8a98e8c25a8b7711ac5c48e7c97e9a2e7a122aae5207d","observation_id":"7b61779f-d510-42b9-b7e4-00d2818d85c9","resolution":{"observed_at":"2026-08-06T21:46:50.581899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:50.319125Z","title":"Stripformer: Strip trans- former for fast image deblurring","venue":null,"work_id":"d66dc9b2-ce0f-46ae-ba73-c572bc9373f7","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.513337Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:fb0105928e0dd655b5ed869f58b68ce049b6ca9f138419c93b75e48963e93f3e","observation_id":"0f78ad4c-f100-4206-96c6-e3c3b4b8c011","resolution":{"observed_at":"2026-08-06T21:46:50.388407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:50.146930Z","title":"MAXIM: multi-axis MLP for image processing","venue":null,"work_id":"93de79cf-7535-4e54-bb82-b35370c64cba","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.635638Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:809839c3cdb63bf7d48a56f53554475a1ae8396f2f0036df45083168cac0ee3a","observation_id":"dd571942-7407-49c5-ab2e-d870f9df8f82","resolution":{"observed_at":"2026-08-06T21:46:50.213410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:49.866958Z","title":"Visu- alizing data using t-SNE","venue":null,"work_id":"08ddf22d-3983-4fad-8d68-a3cc5d4efb0f","year":2008},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.681039Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:55e0c354b7cf24c13e67bdbabfe63b1135902bf6670aaf01f688de6e08ad9a04","observation_id":"f859563d-89e5-4bfb-a840-8e78826f15db","resolution":{"observed_at":"2026-08-06T21:46:50.004480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:49.648803Z","title":"Underexposed photo enhancement using deep illumination estima- tion","venue":null,"work_id":"ae55e5e3-d4dd-4f15-920e-376f4e52af52","year":2019},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.759832Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:7594e796e1a06a626ed96f461cacd9243b22403a4f025a2f6cadced7fafa0cf6","observation_id":"f941a843-ed46-4a40-8d56-d86871438f8c","resolution":{"observed_at":"2026-08-06T21:46:49.749491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:49.364856Z","title":"Seeing dynamic scene in the dark: A high-quality video dataset with mechatronic alignment","venue":null,"work_id":"e5f7f2b6-00f9-4a0e-997f-bf4176bfabd9","year":2021},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.764651Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:b474c8364773a05d6110252b9723d3d74bdeac5ef7cb57a96b2c0e78aa693169","observation_id":"007c43bf-b408-4ced-9b50-9947d0438b33","resolution":{"observed_at":"2026-08-06T21:46:49.532355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:49.055127Z","title":"Low-light image enhance- ment with illumination-aware gamma correction and complete image modelling network","venue":null,"work_id":"dbc27f64-aa90-426c-a1f8-5937c0df9976","year":2023},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.791959Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:a02bda86e3bafcf1c6644429c24b788bc5f71a461c247c572ca448fc5cd76de2","observation_id":"e40f0ffc-8bfd-487f-bf5a-d12b70236171","resolution":{"observed_at":"2026-08-06T21:46:49.202064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:48.839971Z","title":"Uformer: A general U-shaped transformer for image restoration","venue":null,"work_id":"755ef648-9245-4cb1-8cc4-77fd304c3f98","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.861187Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:10d0f4fcbff06697f2cfa53de1433a5fdaec648e7f554480d0a25dc5f9743236","observation_id":"a0dd4ea7-0b51-47ef-92fe-3ea27b25bbab","resolution":{"observed_at":"2026-08-06T21:46:48.930794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:48.725977Z","title":"Atten- tion is all you need","venue":null,"work_id":"48d25efb-79e5-4749-b972-2e2783c37d2f","year":2017},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:44.956810Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:dfc5ac4a0f5847af8dd5cf2942fdf361ccdfa5afefc23171e18b32547a65afed","observation_id":"539a35e3-879c-45cd-a7f0-1441b3da4097","resolution":{"observed_at":"2026-08-06T21:46:48.779598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.04560","last_updated":"2018-08-14T07:20:55Z","snapshot_observed_at":"2026-08-02T03:51:27.789282Z","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":"2026-08-06T21:46:45.003529Z","title":"Deep retinex decomposition for low-light en- hancement","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.003529Z"},"links":{"cited_paper":"/paper/1808.04560","citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:93d81f7e214f2f922bf0058b0ff06764e7e24662051d9ea8569d3776727027a3","observation_id":"c35676de-af6c-4da4-80c0-5f99618fa14e","resolution":{"observed_at":"2026-08-06T21:46:45.003529Z","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":"2026-08-06T21:46:48.594050Z","title":"Invertible image signal processing","venue":null,"work_id":"655f8a9a-591c-4a13-a82f-133fdc347888","year":2021},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.074051Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:619b79274f9001d9f7a39961a60430fbf24b88bdc1219e2917a035593ee80e6e","observation_id":"2b3f3c8d-ab96-4ae8-83fd-158d40c4f317","resolution":{"observed_at":"2026-08-06T21:46:48.660466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:48.481990Z","title":"Multi-class token trans- former for weakly supervised semantic segmentation","venue":null,"work_id":"79a91941-3795-4e89-b900-833a69435aa6","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.241173Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:eb77f716cfa81732f289a8edf708b9c51169bc8e748a07fb6052bdf35e0cdee7","observation_id":"cb35d4d9-e74d-471d-af4a-60c2146baaec","resolution":{"observed_at":"2026-08-06T21:46:48.529701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:48.340017Z","title":"SNR-aware low-light image enhancement","venue":null,"work_id":"f8d86731-249f-45dd-a3f0-7c9b0ee9148b","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.315886Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:8c5acf07d735649d93b2aa88a0b43de21e7eccf6e3a569e116679517e40474ab","observation_id":"0d95ba38-5b9d-4f23-a0e3-7d9319b3a609","resolution":{"observed_at":"2026-08-06T21:46:48.400105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:48.223648Z","title":"AdaInt: learning adaptive intervals for 3D lookup tables on real-time image enhancement","venue":null,"work_id":"dba0833c-1499-4cd0-8efa-4e0be86eb5f0","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.398674Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:4de1356e1847f5e7e54af6ef7dd15bdc22ece6eafd04e2c31e4d9181ac5ed414","observation_id":"135e383b-2ff0-4087-a840-541a03f0fb87","resolution":{"observed_at":"2026-08-06T21:46:48.288219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:48.081165Z","title":"SepLUT: separable image- adaptive lookup tables for real-time image enhance- ment","venue":null,"work_id":"23abdea1-24d9-471b-8c81-7a4abab30680","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.538115Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:5c276305e3a792f848944379dae970ee746e6b071f68eeb46518b01f855a3ffa","observation_id":"8bc1e0b8-fcd9-4c9d-b495-74d26b380cb3","resolution":{"observed_at":"2026-08-06T21:46:48.172155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:47.950890Z","title":"Sparse gradient regularized deep retinex network for robust low-light image en- hancement","venue":null,"work_id":"072a938a-a3c1-49d9-9854-4ea6382a333b","year":2021},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.598991Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:ef226d66bb190f19fe7c4c057931081a114e0142554ff137cd51b5b044b57301","observation_id":"4b8e992c-87b4-4ec4-93a1-f939b7bd99de","resolution":{"observed_at":"2026-08-06T21:46:48.016400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:47.836105Z","title":"Per- ceiving and modeling density for image dehazing","venue":null,"work_id":"2c342ac2-601d-485f-9b01-f3d2481e2ba0","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.684019Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:3bcdaa1c769cacc0722cca0d3dfc85c1aa2b8e80b9c6e310a17a251553cbeb5e","observation_id":"e5f38e15-7396-46b1-8167-768df3730c25","resolution":{"observed_at":"2026-08-06T21:46:47.866518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:47.724452Z","title":"Restormer: Efficient transformer for high- resolution image restoration","venue":null,"work_id":"5829e187-ade3-4e68-b384-ea1f2f41872b","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.861566Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:496f77eeb9b33479d680987e1d1226e2bcf58e7710167ba639f3cf82f5ef80a4","observation_id":"42e20116-efbf-4285-bcc6-097b44ca89c9","resolution":{"observed_at":"2026-08-06T21:46:47.788293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:47.599857Z","title":"Learning image-adaptive 3D lookup tables for high performance photo enhancement in real-time","venue":null,"work_id":"e8e90254-d2df-41b0-af19-616490da8671","year":2022},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.934834Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:af23b9f29e5460c77b77942551fb3c174276f6464012713251539996e560a5ea","observation_id":"ac78234a-d44d-4f42-b2d6-efe9cfc09d5f","resolution":{"observed_at":"2026-08-06T21:46:47.647638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:47.487025Z","title":"Accurate image restora- tion with attention retractable transformer","venue":null,"work_id":"0dab125a-58fd-4937-ae0b-cd29bb7d08fa","year":null},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:45.992714Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:3797ead7de09b579cb97ddea930f012ef9ac9c77718425fcfc02a59a5db3be65","observation_id":"4c98a881-690f-4371-bbdd-847f91daa399","resolution":{"observed_at":"2026-08-06T21:46:47.557506Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:47.322345Z","title":"RealViformer: Investigating attention for real-world video super- resolution","venue":null,"work_id":"9b446021-052f-41bd-ab7f-9e9c6896ca98","year":2024},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:46.099927Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:1fdf4c0c300a705aeca2e629247eb6b5cee3f3b9a22d0ff3befc9865a12ed7e8","observation_id":"e4d5410c-9110-468b-a019-b169a056a472","resolution":{"observed_at":"2026-08-06T21:46:47.400002Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:47.241184Z","title":"STAR: A structure- aware lightweight transformer for real-time image en- hancement","venue":null,"work_id":"5b2e4d99-005b-4839-90de-0cf14dbb77ab","year":2021},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:46.187175Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:b1e5cf77967cc7d08f7aff004024aae22d9685675cb7929c2883fc793533b0ee","observation_id":"3c2f8578-2e62-4232-b0b8-740892c95c0b","resolution":{"observed_at":"2026-08-06T21:46:47.262641Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:47.081958Z","title":"Wavelet-based Fourier information interac- tion with frequency diffusion adjustment for underwa- ter image restoration","venue":null,"work_id":"81a29780-dd1b-4812-84d6-6ffc1d81f0a1","year":2024},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:46.348292Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:dd4ac72d8652e5b1a0cc7f9fe954ac4317c74fd6b2d54ba657c9debcc784fbbc","observation_id":"6fd19cd3-d180-4c26-a6fb-e6f7367b4da9","resolution":{"observed_at":"2026-08-06T21:46:47.178819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:46.971424Z","title":"Curricular contrastive regularization for physics-aware single image dehazing","venue":null,"work_id":"4d8da9ff-e34b-47dd-a5a7-dec735bfbb8f","year":2023},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:46.441849Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:075607889c4c18ff2666cc0f4d682f65cfa4733a17fa7420d750bfd94714d7f4","observation_id":"f2216f76-d957-4871-af4c-dc6d546f83a9","resolution":{"observed_at":"2026-08-06T21:46:47.031016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-06T21:46:46.775865Z","title":"We reduce the number of training images by a factor of 1/10 to prevent overfitting on the RESIDE dataset","venue":null,"work_id":"1d8e057e-8c4c-4033-8b1b-b68f68e62e76","year":null},"citing_paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T21:46:46.510735Z"},"links":{"citing_paper":"/paper/2506.23547"},"observation_digest":"sha256:05f1334b74b6aee21f54ef6d293fb6f74003383cdbd482d6941761b62e5286af","observation_id":"eddaf770-6497-483a-95e4-7bb3fd0e3b80","resolution":{"observed_at":"2026-08-06T21:46:46.844445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.23547","last_updated":"2025-06-30T06:36:11Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T12:36:09.940428Z","submitted_at":"2025-06-30T06:36:11Z","title":"Oneta: Multi-Style Image Enhancement Using Eigentransformation Functions"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":58},"total_outbound_references":64},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2506.23547."}