{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:NUO3R3PV5ZCUUPM2F27JPDVEQD","short_pith_number":"pith:NUO3R3PV","canonical_record":{"source":{"id":"2506.22216","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-27T13:35:34Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"ad706973880c16dabb3241ef052bfdf520fc88b4841790608748f24b82093ad4","abstract_canon_sha256":"dd9440019fb64d089c57452319a4d9643716de0eec756a88a26ba688d831f3b4"},"schema_version":"1.0"},"canonical_sha256":"6d1db8edf5ee454a3d9a2ebe978ea480c702a15c0ef7e60d356129ee24c60fef","source":{"kind":"arxiv","id":"2506.22216","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.22216","created_at":"2026-07-05T11:28:23Z"},{"alias_kind":"arxiv_version","alias_value":"2506.22216v1","created_at":"2026-07-05T11:28:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.22216","created_at":"2026-07-05T11:28:23Z"},{"alias_kind":"pith_short_12","alias_value":"NUO3R3PV5ZCU","created_at":"2026-07-05T11:28:23Z"},{"alias_kind":"pith_short_16","alias_value":"NUO3R3PV5ZCUUPM2","created_at":"2026-07-05T11:28:23Z"},{"alias_kind":"pith_short_8","alias_value":"NUO3R3PV","created_at":"2026-07-05T11:28:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:NUO3R3PV5ZCUUPM2F27JPDVEQD","target":"record","payload":{"canonical_record":{"source":{"id":"2506.22216","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-27T13:35:34Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"ad706973880c16dabb3241ef052bfdf520fc88b4841790608748f24b82093ad4","abstract_canon_sha256":"dd9440019fb64d089c57452319a4d9643716de0eec756a88a26ba688d831f3b4"},"schema_version":"1.0"},"canonical_sha256":"6d1db8edf5ee454a3d9a2ebe978ea480c702a15c0ef7e60d356129ee24c60fef","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:28:23.764398Z","signature_b64":"aywmovhItNMw6NNGdSnRQwcL8fUZfwoYhQMie1QaioyzAdv2aO8Mz+mOKEILFFQ/Zo4tlaDHRAHjqTPCS4MtBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d1db8edf5ee454a3d9a2ebe978ea480c702a15c0ef7e60d356129ee24c60fef","last_reissued_at":"2026-07-05T11:28:23.763917Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:28:23.763917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.22216","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:28:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UUayNR5Am17i3tjvGb/QENBQtYGhjRNAUZA7QokA9HDucCO0ooCWCtXqGB9E1F+God7SmvHIQKshF2FwR2x7Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T22:40:41.900900Z"},"content_sha256":"e2fa3e56af4a122785ecee3ecc3a8263964cd0daea3a368acd75060773a9f447","schema_version":"1.0","event_id":"sha256:e2fa3e56af4a122785ecee3ecc3a8263964cd0daea3a368acd75060773a9f447"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:NUO3R3PV5ZCUUPM2F27JPDVEQD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ReF-LLE: Personalized Low-Light Enhancement via Reference-Guided Deep Reinforcement Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Ming Zhao, Pingping Liu, Tongshun Zhang, Zhe Zhang","submitted_at":"2025-06-27T13:35:34Z","abstract_excerpt":"Low-light image enhancement presents two primary challenges: 1) Significant variations in low-light images across different conditions, and 2) Enhancement levels influenced by subjective preferences and user intent. To address these issues, we propose ReF-LLE, a novel personalized low-light image enhancement method that operates in the Fourier frequency domain and incorporates deep reinforcement learning. ReF-LLE is the first to integrate deep reinforcement learning into this domain. During training, a zero-reference image evaluation strategy is introduced to score enhanced images, providing r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.22216","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.22216/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:28:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UEYGNywUHqMFN239rLKpUHF3b+mmnt+vnFRgqkqt6WONM4NJp4BHQ6bYKjot5/gzYwb4YLj9hEVRR0ELXXNYCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T22:40:41.901399Z"},"content_sha256":"6a64b4cb3d149d0eba89a9260ca0394b046f5822634cf2cdeee08b1170a107a4","schema_version":"1.0","event_id":"sha256:6a64b4cb3d149d0eba89a9260ca0394b046f5822634cf2cdeee08b1170a107a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NUO3R3PV5ZCUUPM2F27JPDVEQD/bundle.json","state_url":"https://pith.science/pith/NUO3R3PV5ZCUUPM2F27JPDVEQD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NUO3R3PV5ZCUUPM2F27JPDVEQD/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T22:40:41Z","links":{"resolver":"https://pith.science/pith/NUO3R3PV5ZCUUPM2F27JPDVEQD","bundle":"https://pith.science/pith/NUO3R3PV5ZCUUPM2F27JPDVEQD/bundle.json","state":"https://pith.science/pith/NUO3R3PV5ZCUUPM2F27JPDVEQD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NUO3R3PV5ZCUUPM2F27JPDVEQD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:NUO3R3PV5ZCUUPM2F27JPDVEQD","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"dd9440019fb64d089c57452319a4d9643716de0eec756a88a26ba688d831f3b4","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-27T13:35:34Z","title_canon_sha256":"ad706973880c16dabb3241ef052bfdf520fc88b4841790608748f24b82093ad4"},"schema_version":"1.0","source":{"id":"2506.22216","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.22216","created_at":"2026-07-05T11:28:23Z"},{"alias_kind":"arxiv_version","alias_value":"2506.22216v1","created_at":"2026-07-05T11:28:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.22216","created_at":"2026-07-05T11:28:23Z"},{"alias_kind":"pith_short_12","alias_value":"NUO3R3PV5ZCU","created_at":"2026-07-05T11:28:23Z"},{"alias_kind":"pith_short_16","alias_value":"NUO3R3PV5ZCUUPM2","created_at":"2026-07-05T11:28:23Z"},{"alias_kind":"pith_short_8","alias_value":"NUO3R3PV","created_at":"2026-07-05T11:28:23Z"}],"graph_snapshots":[{"event_id":"sha256:6a64b4cb3d149d0eba89a9260ca0394b046f5822634cf2cdeee08b1170a107a4","target":"graph","created_at":"2026-07-05T11:28:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2506.22216/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Low-light image enhancement presents two primary challenges: 1) Significant variations in low-light images across different conditions, and 2) Enhancement levels influenced by subjective preferences and user intent. To address these issues, we propose ReF-LLE, a novel personalized low-light image enhancement method that operates in the Fourier frequency domain and incorporates deep reinforcement learning. ReF-LLE is the first to integrate deep reinforcement learning into this domain. During training, a zero-reference image evaluation strategy is introduced to score enhanced images, providing r","authors_text":"Ming Zhao, Pingping Liu, Tongshun Zhang, Zhe Zhang","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-27T13:35:34Z","title":"ReF-LLE: Personalized Low-Light Enhancement via Reference-Guided Deep Reinforcement Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.22216","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e2fa3e56af4a122785ecee3ecc3a8263964cd0daea3a368acd75060773a9f447","target":"record","created_at":"2026-07-05T11:28:23Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"dd9440019fb64d089c57452319a4d9643716de0eec756a88a26ba688d831f3b4","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-27T13:35:34Z","title_canon_sha256":"ad706973880c16dabb3241ef052bfdf520fc88b4841790608748f24b82093ad4"},"schema_version":"1.0","source":{"id":"2506.22216","kind":"arxiv","version":1}},"canonical_sha256":"6d1db8edf5ee454a3d9a2ebe978ea480c702a15c0ef7e60d356129ee24c60fef","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6d1db8edf5ee454a3d9a2ebe978ea480c702a15c0ef7e60d356129ee24c60fef","first_computed_at":"2026-07-05T11:28:23.763917Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:23.763917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aywmovhItNMw6NNGdSnRQwcL8fUZfwoYhQMie1QaioyzAdv2aO8Mz+mOKEILFFQ/Zo4tlaDHRAHjqTPCS4MtBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:23.764398Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.22216","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2fa3e56af4a122785ecee3ecc3a8263964cd0daea3a368acd75060773a9f447","sha256:6a64b4cb3d149d0eba89a9260ca0394b046f5822634cf2cdeee08b1170a107a4"],"state_sha256":"212e04da68ad0c4e37314b7c8ec66046839e9bacbec8d54d36defd03ce00829b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XO4yrjcUJWCr6c4vhZxvKReu5gY9YGT6MXkRU5eET1N3N6SQWg9mmknqRue8Xh3UDIjdROdiwKnraHRxIgNNDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T22:40:41.905325Z","bundle_sha256":"acdc5a66635ac8dfed6e9d6528b5e40a582db121ce52e4e91833c26436048338"}}