{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:3K5THX67WAMG6SII244TBMGNLB","short_pith_number":"pith:3K5THX67","schema_version":"1.0","canonical_sha256":"dabb33dfdfb0186f4908d73930b0cd5874a3cf82055ee0209632577cd155b529","source":{"kind":"arxiv","id":"2210.00379","version":8},"attestation_state":"computed","paper":{"title":"NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dening Lu, Hongjie He, Jonathan Li, Kyle Gao, Linlin Xu, Yina Gao","submitted_at":"2022-10-01T21:35:11Z","abstract_excerpt":"In March 2020, Neural Radiance Field (NeRF) revolutionized Computer Vision, allowing for implicit, neural network-based scene representation and novel view synthesis. NeRF models have found diverse applications in robotics, urban mapping, autonomous navigation, virtual reality/augmented reality, and more. In August 2023, Gaussian Splatting, a direct competitor to the NeRF-based framework, was proposed, gaining tremendous momentum and overtaking NeRF-based research in terms of interest as the dominant framework for novel view synthesis. We present a comprehensive survey of NeRF papers from the "},"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":"2210.00379","kind":"arxiv","version":8},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-10-01T21:35:11Z","cross_cats_sorted":[],"title_canon_sha256":"1f27aae5750557667326417a9a30145e74141c72d9ade31cff33a44826af89f8","abstract_canon_sha256":"72d8c39a7e5965dd3d0d988f55f7e09e807fbb2fab2b8ef4fd155cd8e91756fe"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T01:04:47.849603Z","signature_b64":"+lm4NC7AH3rlVSxFmF8vMWimpIh7fkgVnTEo3h1255hCvUI2NWRIuyz1kdOhxreV4nURLU+FTqI9d8YX796UCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dabb33dfdfb0186f4908d73930b0cd5874a3cf82055ee0209632577cd155b529","last_reissued_at":"2026-05-20T01:04:47.848938Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T01:04:47.848938Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dening Lu, Hongjie He, Jonathan Li, Kyle Gao, Linlin Xu, Yina Gao","submitted_at":"2022-10-01T21:35:11Z","abstract_excerpt":"In March 2020, Neural Radiance Field (NeRF) revolutionized Computer Vision, allowing for implicit, neural network-based scene representation and novel view synthesis. NeRF models have found diverse applications in robotics, urban mapping, autonomous navigation, virtual reality/augmented reality, and more. In August 2023, Gaussian Splatting, a direct competitor to the NeRF-based framework, was proposed, gaining tremendous momentum and overtaking NeRF-based research in terms of interest as the dominant framework for novel view synthesis. We present a comprehensive survey of NeRF papers from the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.00379","kind":"arxiv","version":8},"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/2210.00379/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":"2210.00379","created_at":"2026-05-20T01:04:47.849034+00:00"},{"alias_kind":"arxiv_version","alias_value":"2210.00379v8","created_at":"2026-05-20T01:04:47.849034+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.00379","created_at":"2026-05-20T01:04:47.849034+00:00"},{"alias_kind":"pith_short_12","alias_value":"3K5THX67WAMG","created_at":"2026-05-20T01:04:47.849034+00:00"},{"alias_kind":"pith_short_16","alias_value":"3K5THX67WAMG6SII","created_at":"2026-05-20T01:04:47.849034+00:00"},{"alias_kind":"pith_short_8","alias_value":"3K5THX67","created_at":"2026-05-20T01:04:47.849034+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":7,"internal_anchor_count":7,"sample":[{"citing_arxiv_id":"2605.20940","citing_title":"3D Reconstruction and Knowledge Distillation to Improve Multi-View Image Models to Explore Spike Volume Estimation in Wheat","ref_index":48,"is_internal_anchor":true},{"citing_arxiv_id":"2605.18210","citing_title":"Motion-Enabled Tomography via Gaussian Mixture Models","ref_index":70,"is_internal_anchor":true},{"citing_arxiv_id":"2605.13591","citing_title":"Real2Sim: A Physics-driven and Editable Gaussian Splatting Framework for Autonomous Driving Scenes","ref_index":20,"is_internal_anchor":true},{"citing_arxiv_id":"2604.26899","citing_title":"Safe Navigation using Neural Radiance Fields via Reachable Sets","ref_index":3,"is_internal_anchor":true},{"citing_arxiv_id":"2605.05664","citing_title":"Sparse-to-Complete: From Sparse Image Captures to Complete 3D Scenes","ref_index":73,"is_internal_anchor":true},{"citing_arxiv_id":"2604.07053","citing_title":"AnchorSplat: Feed-Forward 3D Gaussian Splatting with 3D Geometric Priors","ref_index":10,"is_internal_anchor":true},{"citing_arxiv_id":"2604.17965","citing_title":"MU-GeNeRF: Multi-view Uncertainty-guided Generalizable Neural Radiance Fields for Distractor-aware Scene","ref_index":12,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3K5THX67WAMG6SII244TBMGNLB","json":"https://pith.science/pith/3K5THX67WAMG6SII244TBMGNLB.json","graph_json":"https://pith.science/api/pith-number/3K5THX67WAMG6SII244TBMGNLB/graph.json","events_json":"https://pith.science/api/pith-number/3K5THX67WAMG6SII244TBMGNLB/events.json","paper":"https://pith.science/paper/3K5THX67"},"agent_actions":{"view_html":"https://pith.science/pith/3K5THX67WAMG6SII244TBMGNLB","download_json":"https://pith.science/pith/3K5THX67WAMG6SII244TBMGNLB.json","view_paper":"https://pith.science/paper/3K5THX67","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2210.00379&json=true","fetch_graph":"https://pith.science/api/pith-number/3K5THX67WAMG6SII244TBMGNLB/graph.json","fetch_events":"https://pith.science/api/pith-number/3K5THX67WAMG6SII244TBMGNLB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3K5THX67WAMG6SII244TBMGNLB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3K5THX67WAMG6SII244TBMGNLB/action/storage_attestation","attest_author":"https://pith.science/pith/3K5THX67WAMG6SII244TBMGNLB/action/author_attestation","sign_citation":"https://pith.science/pith/3K5THX67WAMG6SII244TBMGNLB/action/citation_signature","submit_replication":"https://pith.science/pith/3K5THX67WAMG6SII244TBMGNLB/action/replication_record"}},"created_at":"2026-05-20T01:04:47.849034+00:00","updated_at":"2026-05-20T01:04:47.849034+00:00"}