{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:KAUR6UM7WPZHITAUZUSOTLIY4Y","short_pith_number":"pith:KAUR6UM7","schema_version":"1.0","canonical_sha256":"50291f519fb3f2744c14cd24e9ad18e62b1986e4b12465b6cc85790653271c9d","source":{"kind":"arxiv","id":"2305.01611","version":2},"attestation_state":"computed","paper":{"title":"AutoColor: Learned Light Power Control for Multi-Color Holograms","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Hakan Urey, Kaan Ak\\c{s}it, Koray Kavakl{\\i}, Qi Sun, Yicheng Zhan","submitted_at":"2023-05-02T17:14:03Z","abstract_excerpt":"Multi-color holograms rely on simultaneous illumination from multiple light sources. These multi-color holograms could utilize light sources better than conventional single-color holograms and can improve the dynamic range of holographic displays. In this letter, we introduce AutoColor , the first learned method for estimating the optimal light source powers required for illuminating multi-color holograms. For this purpose, we establish the first multi-color hologram dataset using synthetic images and their depth information. We generate these synthetic images using a trending pipeline combini"},"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":"2305.01611","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-02T17:14:03Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"1d827c3a14d9143b0b4d644b506d316db8bcaff3c675b96650d057b73ec5cdd6","abstract_canon_sha256":"3367f86a536b91a99d10e3a8ec268551fbc35ffa1654aaeb29e7d540ab43e744"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:38:27.300492Z","signature_b64":"0ES7EQQxY6IS2UHVKuQo/A6QV50s8jTO0AVbGyQYtrE+eJs05u0hzetHSxfVAe5n+mJKKzYAV9i4H5IpVpL6BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"50291f519fb3f2744c14cd24e9ad18e62b1986e4b12465b6cc85790653271c9d","last_reissued_at":"2026-07-05T07:38:27.300003Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:38:27.300003Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AutoColor: Learned Light Power Control for Multi-Color Holograms","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Hakan Urey, Kaan Ak\\c{s}it, Koray Kavakl{\\i}, Qi Sun, Yicheng Zhan","submitted_at":"2023-05-02T17:14:03Z","abstract_excerpt":"Multi-color holograms rely on simultaneous illumination from multiple light sources. These multi-color holograms could utilize light sources better than conventional single-color holograms and can improve the dynamic range of holographic displays. In this letter, we introduce AutoColor , the first learned method for estimating the optimal light source powers required for illuminating multi-color holograms. For this purpose, we establish the first multi-color hologram dataset using synthetic images and their depth information. We generate these synthetic images using a trending pipeline combini"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.01611","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/2305.01611/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":"2305.01611","created_at":"2026-07-05T07:38:27.300066+00:00"},{"alias_kind":"arxiv_version","alias_value":"2305.01611v2","created_at":"2026-07-05T07:38:27.300066+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.01611","created_at":"2026-07-05T07:38:27.300066+00:00"},{"alias_kind":"pith_short_12","alias_value":"KAUR6UM7WPZH","created_at":"2026-07-05T07:38:27.300066+00:00"},{"alias_kind":"pith_short_16","alias_value":"KAUR6UM7WPZHITAU","created_at":"2026-07-05T07:38:27.300066+00:00"},{"alias_kind":"pith_short_8","alias_value":"KAUR6UM7","created_at":"2026-07-05T07:38:27.300066+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/KAUR6UM7WPZHITAUZUSOTLIY4Y","json":"https://pith.science/pith/KAUR6UM7WPZHITAUZUSOTLIY4Y.json","graph_json":"https://pith.science/api/pith-number/KAUR6UM7WPZHITAUZUSOTLIY4Y/graph.json","events_json":"https://pith.science/api/pith-number/KAUR6UM7WPZHITAUZUSOTLIY4Y/events.json","paper":"https://pith.science/paper/KAUR6UM7"},"agent_actions":{"view_html":"https://pith.science/pith/KAUR6UM7WPZHITAUZUSOTLIY4Y","download_json":"https://pith.science/pith/KAUR6UM7WPZHITAUZUSOTLIY4Y.json","view_paper":"https://pith.science/paper/KAUR6UM7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2305.01611&json=true","fetch_graph":"https://pith.science/api/pith-number/KAUR6UM7WPZHITAUZUSOTLIY4Y/graph.json","fetch_events":"https://pith.science/api/pith-number/KAUR6UM7WPZHITAUZUSOTLIY4Y/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KAUR6UM7WPZHITAUZUSOTLIY4Y/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KAUR6UM7WPZHITAUZUSOTLIY4Y/action/storage_attestation","attest_author":"https://pith.science/pith/KAUR6UM7WPZHITAUZUSOTLIY4Y/action/author_attestation","sign_citation":"https://pith.science/pith/KAUR6UM7WPZHITAUZUSOTLIY4Y/action/citation_signature","submit_replication":"https://pith.science/pith/KAUR6UM7WPZHITAUZUSOTLIY4Y/action/replication_record"}},"created_at":"2026-07-05T07:38:27.300066+00:00","updated_at":"2026-07-05T07:38:27.300066+00:00"}