{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GETKQ6NMZHLB5VVLKIGIM4YCKK","short_pith_number":"pith:GETKQ6NM","canonical_record":{"source":{"id":"2403.19238","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-28T08:49:35Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"79b4f3d33d9c7dcb649ddcb0d7cbb34ade2fe099a85c70056cc702ee9d1cb26d","abstract_canon_sha256":"63143097d69efc2f8647081964b615be25d59094c330117a8b8409c38367664c"},"schema_version":"1.0"},"canonical_sha256":"3126a879acc9d61ed6ab520c86730252949d1b17d26861f2ffbda507770aa984","source":{"kind":"arxiv","id":"2403.19238","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.19238","created_at":"2026-07-05T08:43:27Z"},{"alias_kind":"arxiv_version","alias_value":"2403.19238v2","created_at":"2026-07-05T08:43:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.19238","created_at":"2026-07-05T08:43:27Z"},{"alias_kind":"pith_short_12","alias_value":"GETKQ6NMZHLB","created_at":"2026-07-05T08:43:27Z"},{"alias_kind":"pith_short_16","alias_value":"GETKQ6NMZHLB5VVL","created_at":"2026-07-05T08:43:27Z"},{"alias_kind":"pith_short_8","alias_value":"GETKQ6NM","created_at":"2026-07-05T08:43:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GETKQ6NMZHLB5VVLKIGIM4YCKK","target":"record","payload":{"canonical_record":{"source":{"id":"2403.19238","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-28T08:49:35Z","cross_cats_sorted":["cs.AI","eess.IV"],"title_canon_sha256":"79b4f3d33d9c7dcb649ddcb0d7cbb34ade2fe099a85c70056cc702ee9d1cb26d","abstract_canon_sha256":"63143097d69efc2f8647081964b615be25d59094c330117a8b8409c38367664c"},"schema_version":"1.0"},"canonical_sha256":"3126a879acc9d61ed6ab520c86730252949d1b17d26861f2ffbda507770aa984","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:43:27.606580Z","signature_b64":"8Jn8fygLIgyCartZYkEpv4Ra18N/GEiftIST8wzcTgNPGrDqaywhXMNGJsKYYBH1qQlPSt5frno/GdT4ANOvDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3126a879acc9d61ed6ab520c86730252949d1b17d26861f2ffbda507770aa984","last_reissued_at":"2026-07-05T08:43:27.606118Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:43:27.606118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.19238","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:43:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VJ5gontgWwYSmXX5i1nIEZlPrvTmFYoHync2a93JyGs/DiCZSqhtggVRwiWtnoAZH4RBaD6RkzlrY0WYCEOwCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T23:34:13.957064Z"},"content_sha256":"101ea7d95824ac77c634038fb8cc7373d4307be8f16dc466de74ba47225136ec","schema_version":"1.0","event_id":"sha256:101ea7d95824ac77c634038fb8cc7373d4307be8f16dc466de74ba47225136ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GETKQ6NMZHLB5VVLKIGIM4YCKK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Taming Lookup Tables for Efficient Image Retouching","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","eess.IV"],"primary_cat":"cs.CV","authors_text":"Binxiao Huang, Hanzhong Guo, Mingdeng Cao, Ngai Wong, Sidi Yang, Yatai Ji, Yujiu Yang","submitted_at":"2024-03-28T08:49:35Z","abstract_excerpt":"The widespread use of high-definition screens in edge devices, such as end-user cameras, smartphones, and televisions, is spurring a significant demand for image enhancement. Existing enhancement models often optimize for high performance while falling short of reducing hardware inference time and power consumption, especially on edge devices with constrained computing and storage resources. To this end, we propose Image Color Enhancement Lookup Table (ICELUT) that adopts LUTs for extremely efficient edge inference, without any convolutional neural network (CNN). During training, we leverage p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.19238","kind":"arxiv","version":2},"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/2403.19238/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":"2026-07-05T08:43:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rKNuGtlR/4HOJ49VysrJqaW/vKHb3oBLU4p27NQnxiWJgmvqDE9ZJ7KsKjS2D7mH/fFjYcEQCatantvl7s86AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T23:34:13.957718Z"},"content_sha256":"f8b57004ae42c23f12f64b0e90292caf2b6caed68b69cfb24c7c006a1980a5d4","schema_version":"1.0","event_id":"sha256:f8b57004ae42c23f12f64b0e90292caf2b6caed68b69cfb24c7c006a1980a5d4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GETKQ6NMZHLB5VVLKIGIM4YCKK/bundle.json","state_url":"https://pith.science/pith/GETKQ6NMZHLB5VVLKIGIM4YCKK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GETKQ6NMZHLB5VVLKIGIM4YCKK/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":"2026-08-04T23:34:13Z","links":{"resolver":"https://pith.science/pith/GETKQ6NMZHLB5VVLKIGIM4YCKK","bundle":"https://pith.science/pith/GETKQ6NMZHLB5VVLKIGIM4YCKK/bundle.json","state":"https://pith.science/pith/GETKQ6NMZHLB5VVLKIGIM4YCKK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GETKQ6NMZHLB5VVLKIGIM4YCKK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GETKQ6NMZHLB5VVLKIGIM4YCKK","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":"63143097d69efc2f8647081964b615be25d59094c330117a8b8409c38367664c","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-28T08:49:35Z","title_canon_sha256":"79b4f3d33d9c7dcb649ddcb0d7cbb34ade2fe099a85c70056cc702ee9d1cb26d"},"schema_version":"1.0","source":{"id":"2403.19238","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.19238","created_at":"2026-07-05T08:43:27Z"},{"alias_kind":"arxiv_version","alias_value":"2403.19238v2","created_at":"2026-07-05T08:43:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.19238","created_at":"2026-07-05T08:43:27Z"},{"alias_kind":"pith_short_12","alias_value":"GETKQ6NMZHLB","created_at":"2026-07-05T08:43:27Z"},{"alias_kind":"pith_short_16","alias_value":"GETKQ6NMZHLB5VVL","created_at":"2026-07-05T08:43:27Z"},{"alias_kind":"pith_short_8","alias_value":"GETKQ6NM","created_at":"2026-07-05T08:43:27Z"}],"graph_snapshots":[{"event_id":"sha256:f8b57004ae42c23f12f64b0e90292caf2b6caed68b69cfb24c7c006a1980a5d4","target":"graph","created_at":"2026-07-05T08:43:27Z","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/2403.19238/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The widespread use of high-definition screens in edge devices, such as end-user cameras, smartphones, and televisions, is spurring a significant demand for image enhancement. Existing enhancement models often optimize for high performance while falling short of reducing hardware inference time and power consumption, especially on edge devices with constrained computing and storage resources. To this end, we propose Image Color Enhancement Lookup Table (ICELUT) that adopts LUTs for extremely efficient edge inference, without any convolutional neural network (CNN). During training, we leverage p","authors_text":"Binxiao Huang, Hanzhong Guo, Mingdeng Cao, Ngai Wong, Sidi Yang, Yatai Ji, Yujiu Yang","cross_cats":["cs.AI","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-28T08:49:35Z","title":"Taming Lookup Tables for Efficient Image Retouching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.19238","kind":"arxiv","version":2},"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":"sha256:101ea7d95824ac77c634038fb8cc7373d4307be8f16dc466de74ba47225136ec","target":"record","created_at":"2026-07-05T08:43:27Z","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":"63143097d69efc2f8647081964b615be25d59094c330117a8b8409c38367664c","cross_cats_sorted":["cs.AI","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-28T08:49:35Z","title_canon_sha256":"79b4f3d33d9c7dcb649ddcb0d7cbb34ade2fe099a85c70056cc702ee9d1cb26d"},"schema_version":"1.0","source":{"id":"2403.19238","kind":"arxiv","version":2}},"canonical_sha256":"3126a879acc9d61ed6ab520c86730252949d1b17d26861f2ffbda507770aa984","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3126a879acc9d61ed6ab520c86730252949d1b17d26861f2ffbda507770aa984","first_computed_at":"2026-07-05T08:43:27.606118Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:43:27.606118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8Jn8fygLIgyCartZYkEpv4Ra18N/GEiftIST8wzcTgNPGrDqaywhXMNGJsKYYBH1qQlPSt5frno/GdT4ANOvDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:43:27.606580Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.19238","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:101ea7d95824ac77c634038fb8cc7373d4307be8f16dc466de74ba47225136ec","sha256:f8b57004ae42c23f12f64b0e90292caf2b6caed68b69cfb24c7c006a1980a5d4"],"state_sha256":"a2e95f27463b73a5caa7364d9c366c832992d9ae5a9aecfde497381c836e8942"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AFXVmGXQ9necEqZEoxUupDLtWwGO8ALSVvoOTaCtFd1SuqfcEFFybNe7wmHcS/qDTU664CIcQJol8Wji7NCFDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T23:34:13.961152Z","bundle_sha256":"dca91d662e804be130ccc759aacf50c6bd737838d44e039322b05c4635b2b026"}}