{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:46DVQPVHCGDU7MTBG4DBB7KJEA","short_pith_number":"pith:46DVQPVH","schema_version":"1.0","canonical_sha256":"e787583ea711874fb261370610fd492004e468372de5ea0730a2d15fb50a1f3f","source":{"kind":"arxiv","id":"2303.04086","version":1},"attestation_state":"computed","paper":{"title":"NEPHELE: A Neural Platform for Highly Realistic Cloud Radiance Rendering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.DC"],"primary_cat":"cs.GR","authors_text":"Boyuan Zhang, Dongxue Yan, Fuqiang Zhao, Haimin Luo, Haotian Jing, Jingyi Yu, Junran Ding, Lan Xu, Penghao Wang, Qiang Hu, Shu Yin, Siyuan Zhang, Zhenxiao Yu","submitted_at":"2023-03-07T17:47:33Z","abstract_excerpt":"We have recently seen tremendous progress in neural rendering (NR) advances, i.e., NeRF, for photo-real free-view synthesis. Yet, as a local technique based on a single computer/GPU, even the best-engineered Instant-NGP or i-NGP cannot reach real-time performance when rendering at a high resolution, and often requires huge local computing resources. In this paper, we resort to cloud rendering and present NEPHELE, a neural platform for highly realistic cloud radiance rendering. In stark contrast with existing NR approaches, our NEPHELE allows for more powerful rendering capabilities by combinin"},"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":"2303.04086","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2023-03-07T17:47:33Z","cross_cats_sorted":["cs.CV","cs.DC"],"title_canon_sha256":"7e03dbeb379416c1f4a62456698f8f823600c3f8fdd3c51afd530e738199b7d0","abstract_canon_sha256":"d92e688a025068407121a13a96f076d6188491ba9c94abeda28a9f133b7f1b90"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:49:03.043562Z","signature_b64":"xt6NCZRdzl6IyvTrbKNIxPR0vPgo561Ca/n4bPhAFNGO+n0LIO/eJ4bVwT9PwqUni90OXTcjFEU/QxH1OZLKDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e787583ea711874fb261370610fd492004e468372de5ea0730a2d15fb50a1f3f","last_reissued_at":"2026-07-05T05:49:03.043139Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:49:03.043139Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NEPHELE: A Neural Platform for Highly Realistic Cloud Radiance Rendering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.DC"],"primary_cat":"cs.GR","authors_text":"Boyuan Zhang, Dongxue Yan, Fuqiang Zhao, Haimin Luo, Haotian Jing, Jingyi Yu, Junran Ding, Lan Xu, Penghao Wang, Qiang Hu, Shu Yin, Siyuan Zhang, Zhenxiao Yu","submitted_at":"2023-03-07T17:47:33Z","abstract_excerpt":"We have recently seen tremendous progress in neural rendering (NR) advances, i.e., NeRF, for photo-real free-view synthesis. Yet, as a local technique based on a single computer/GPU, even the best-engineered Instant-NGP or i-NGP cannot reach real-time performance when rendering at a high resolution, and often requires huge local computing resources. In this paper, we resort to cloud rendering and present NEPHELE, a neural platform for highly realistic cloud radiance rendering. In stark contrast with existing NR approaches, our NEPHELE allows for more powerful rendering capabilities by combinin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.04086","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/2303.04086/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":"2303.04086","created_at":"2026-07-05T05:49:03.043199+00:00"},{"alias_kind":"arxiv_version","alias_value":"2303.04086v1","created_at":"2026-07-05T05:49:03.043199+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.04086","created_at":"2026-07-05T05:49:03.043199+00:00"},{"alias_kind":"pith_short_12","alias_value":"46DVQPVHCGDU","created_at":"2026-07-05T05:49:03.043199+00:00"},{"alias_kind":"pith_short_16","alias_value":"46DVQPVHCGDU7MTB","created_at":"2026-07-05T05:49:03.043199+00:00"},{"alias_kind":"pith_short_8","alias_value":"46DVQPVH","created_at":"2026-07-05T05:49:03.043199+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/46DVQPVHCGDU7MTBG4DBB7KJEA","json":"https://pith.science/pith/46DVQPVHCGDU7MTBG4DBB7KJEA.json","graph_json":"https://pith.science/api/pith-number/46DVQPVHCGDU7MTBG4DBB7KJEA/graph.json","events_json":"https://pith.science/api/pith-number/46DVQPVHCGDU7MTBG4DBB7KJEA/events.json","paper":"https://pith.science/paper/46DVQPVH"},"agent_actions":{"view_html":"https://pith.science/pith/46DVQPVHCGDU7MTBG4DBB7KJEA","download_json":"https://pith.science/pith/46DVQPVHCGDU7MTBG4DBB7KJEA.json","view_paper":"https://pith.science/paper/46DVQPVH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2303.04086&json=true","fetch_graph":"https://pith.science/api/pith-number/46DVQPVHCGDU7MTBG4DBB7KJEA/graph.json","fetch_events":"https://pith.science/api/pith-number/46DVQPVHCGDU7MTBG4DBB7KJEA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/46DVQPVHCGDU7MTBG4DBB7KJEA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/46DVQPVHCGDU7MTBG4DBB7KJEA/action/storage_attestation","attest_author":"https://pith.science/pith/46DVQPVHCGDU7MTBG4DBB7KJEA/action/author_attestation","sign_citation":"https://pith.science/pith/46DVQPVHCGDU7MTBG4DBB7KJEA/action/citation_signature","submit_replication":"https://pith.science/pith/46DVQPVHCGDU7MTBG4DBB7KJEA/action/replication_record"}},"created_at":"2026-07-05T05:49:03.043199+00:00","updated_at":"2026-07-05T05:49:03.043199+00:00"}