{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:CTHZUHQDS2IABGV4MLAP2QXBLL","short_pith_number":"pith:CTHZUHQD","schema_version":"1.0","canonical_sha256":"14cf9a1e039690009abc62c0fd42e15acdc558d497ad44f94b6c0ba53170cd84","source":{"kind":"arxiv","id":"2508.00548","version":1},"attestation_state":"computed","paper":{"title":"Video Color Grading via Look-Up Table Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongmin Shin, Hae-Gon Jeon, Jisu Shin, Joon-Young Lee, Seunghyun Shin","submitted_at":"2025-08-01T11:43:30Z","abstract_excerpt":"Different from color correction and transfer, color grading involves adjusting colors for artistic or storytelling purposes in a video, which is used to establish a specific look or mood. However, due to the complexity of the process and the need for specialized editing skills, video color grading remains primarily the domain of professional colorists. In this paper, we present a reference-based video color grading framework. Our key idea is explicitly generating a look-up table (LUT) for color attribute alignment between reference scenes and input video via a diffusion model. As a training ob"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2508.00548","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-01T11:43:30Z","cross_cats_sorted":[],"title_canon_sha256":"2e5fdbf247aff816fd4c0300597a55434f45af37feb1a3440b3c32a74bff14be","abstract_canon_sha256":"9fb50066932df31a5ca66a27a42282683ce6deb8b803bfd9f767033fb5e6b35e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:57.831203Z","signature_b64":"fLxDHkQfBIi/h++P93v0y34bWM69wBSVkRDW0VhAm2SN0BgJ2IwsvZ5/8CXyY0sG/bHRJzBQ1JvtKhrIlOJeCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"14cf9a1e039690009abc62c0fd42e15acdc558d497ad44f94b6c0ba53170cd84","last_reissued_at":"2026-07-05T11:46:57.830641Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:57.830641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Video Color Grading via Look-Up Table Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongmin Shin, Hae-Gon Jeon, Jisu Shin, Joon-Young Lee, Seunghyun Shin","submitted_at":"2025-08-01T11:43:30Z","abstract_excerpt":"Different from color correction and transfer, color grading involves adjusting colors for artistic or storytelling purposes in a video, which is used to establish a specific look or mood. However, due to the complexity of the process and the need for specialized editing skills, video color grading remains primarily the domain of professional colorists. In this paper, we present a reference-based video color grading framework. Our key idea is explicitly generating a look-up table (LUT) for color attribute alignment between reference scenes and input video via a diffusion model. As a training ob"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.00548","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/2508.00548/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2508.00548","created_at":"2026-07-05T11:46:57.830705+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.00548v1","created_at":"2026-07-05T11:46:57.830705+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.00548","created_at":"2026-07-05T11:46:57.830705+00:00"},{"alias_kind":"pith_short_12","alias_value":"CTHZUHQDS2IA","created_at":"2026-07-05T11:46:57.830705+00:00"},{"alias_kind":"pith_short_16","alias_value":"CTHZUHQDS2IABGV4","created_at":"2026-07-05T11:46:57.830705+00:00"},{"alias_kind":"pith_short_8","alias_value":"CTHZUHQD","created_at":"2026-07-05T11:46:57.830705+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CTHZUHQDS2IABGV4MLAP2QXBLL","json":"https://pith.science/pith/CTHZUHQDS2IABGV4MLAP2QXBLL.json","graph_json":"https://pith.science/api/pith-number/CTHZUHQDS2IABGV4MLAP2QXBLL/graph.json","events_json":"https://pith.science/api/pith-number/CTHZUHQDS2IABGV4MLAP2QXBLL/events.json","paper":"https://pith.science/paper/CTHZUHQD"},"agent_actions":{"view_html":"https://pith.science/pith/CTHZUHQDS2IABGV4MLAP2QXBLL","download_json":"https://pith.science/pith/CTHZUHQDS2IABGV4MLAP2QXBLL.json","view_paper":"https://pith.science/paper/CTHZUHQD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.00548&json=true","fetch_graph":"https://pith.science/api/pith-number/CTHZUHQDS2IABGV4MLAP2QXBLL/graph.json","fetch_events":"https://pith.science/api/pith-number/CTHZUHQDS2IABGV4MLAP2QXBLL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CTHZUHQDS2IABGV4MLAP2QXBLL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CTHZUHQDS2IABGV4MLAP2QXBLL/action/storage_attestation","attest_author":"https://pith.science/pith/CTHZUHQDS2IABGV4MLAP2QXBLL/action/author_attestation","sign_citation":"https://pith.science/pith/CTHZUHQDS2IABGV4MLAP2QXBLL/action/citation_signature","submit_replication":"https://pith.science/pith/CTHZUHQDS2IABGV4MLAP2QXBLL/action/replication_record"}},"created_at":"2026-07-05T11:46:57.830705+00:00","updated_at":"2026-07-05T11:46:57.830705+00:00"}