{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:FANO3MSWPEZIEEBDVNOF43QMQS","short_pith_number":"pith:FANO3MSW","schema_version":"1.0","canonical_sha256":"281aedb2567932821023ab5c5e6e0c848939e4a0e010e73c5b5531b88e9179a4","source":{"kind":"arxiv","id":"2408.06543","version":3},"attestation_state":"computed","paper":{"title":"HDRGS: High Dynamic Range Gaussian Splatting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jiahao Wu, Kaiqiang Xiong, Lu Xiao, Ronggang Wang, Rui Peng","submitted_at":"2024-08-13T00:32:36Z","abstract_excerpt":"Recent years have witnessed substantial advancements in the field of 3D reconstruction from 2D images, particularly following the introduction of the neural radiance field (NeRF) technique. However, reconstructing a 3D high dynamic range (HDR) radiance field, which aligns more closely with real-world conditions, from 2D multi-exposure low dynamic range (LDR) images continues to pose significant challenges. Approaches to this issue fall into two categories: grid-based and implicit-based. Implicit methods, using multi-layer perceptrons (MLP), face inefficiencies, limited solvability, and overfit"},"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":"2408.06543","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-08-13T00:32:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"edffb8cc8e2031df0b3fd11f81186bdd58862b1496c4015a7c9c30f241b39e0f","abstract_canon_sha256":"2c63fa90e27dc778692af850b905e900a7bf4590f8f5f79ceb21e7c4420fef09"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:30:20.237053Z","signature_b64":"9YiJnS0gkW9ddHFXQ3WJge304LhD6JDPW3pcT/cqGYkjdD2dl4y6GumggltKdcF1YEjpbCKwuuRfESe2YbqwCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"281aedb2567932821023ab5c5e6e0c848939e4a0e010e73c5b5531b88e9179a4","last_reissued_at":"2026-07-05T09:30:20.236632Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:30:20.236632Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HDRGS: High Dynamic Range Gaussian Splatting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Jiahao Wu, Kaiqiang Xiong, Lu Xiao, Ronggang Wang, Rui Peng","submitted_at":"2024-08-13T00:32:36Z","abstract_excerpt":"Recent years have witnessed substantial advancements in the field of 3D reconstruction from 2D images, particularly following the introduction of the neural radiance field (NeRF) technique. However, reconstructing a 3D high dynamic range (HDR) radiance field, which aligns more closely with real-world conditions, from 2D multi-exposure low dynamic range (LDR) images continues to pose significant challenges. Approaches to this issue fall into two categories: grid-based and implicit-based. Implicit methods, using multi-layer perceptrons (MLP), face inefficiencies, limited solvability, and overfit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.06543","kind":"arxiv","version":3},"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/2408.06543/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":"2408.06543","created_at":"2026-07-05T09:30:20.236689+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.06543v3","created_at":"2026-07-05T09:30:20.236689+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.06543","created_at":"2026-07-05T09:30:20.236689+00:00"},{"alias_kind":"pith_short_12","alias_value":"FANO3MSWPEZI","created_at":"2026-07-05T09:30:20.236689+00:00"},{"alias_kind":"pith_short_16","alias_value":"FANO3MSWPEZIEEBD","created_at":"2026-07-05T09:30:20.236689+00:00"},{"alias_kind":"pith_short_8","alias_value":"FANO3MSW","created_at":"2026-07-05T09:30:20.236689+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/FANO3MSWPEZIEEBDVNOF43QMQS","json":"https://pith.science/pith/FANO3MSWPEZIEEBDVNOF43QMQS.json","graph_json":"https://pith.science/api/pith-number/FANO3MSWPEZIEEBDVNOF43QMQS/graph.json","events_json":"https://pith.science/api/pith-number/FANO3MSWPEZIEEBDVNOF43QMQS/events.json","paper":"https://pith.science/paper/FANO3MSW"},"agent_actions":{"view_html":"https://pith.science/pith/FANO3MSWPEZIEEBDVNOF43QMQS","download_json":"https://pith.science/pith/FANO3MSWPEZIEEBDVNOF43QMQS.json","view_paper":"https://pith.science/paper/FANO3MSW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.06543&json=true","fetch_graph":"https://pith.science/api/pith-number/FANO3MSWPEZIEEBDVNOF43QMQS/graph.json","fetch_events":"https://pith.science/api/pith-number/FANO3MSWPEZIEEBDVNOF43QMQS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FANO3MSWPEZIEEBDVNOF43QMQS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FANO3MSWPEZIEEBDVNOF43QMQS/action/storage_attestation","attest_author":"https://pith.science/pith/FANO3MSWPEZIEEBDVNOF43QMQS/action/author_attestation","sign_citation":"https://pith.science/pith/FANO3MSWPEZIEEBDVNOF43QMQS/action/citation_signature","submit_replication":"https://pith.science/pith/FANO3MSWPEZIEEBDVNOF43QMQS/action/replication_record"}},"created_at":"2026-07-05T09:30:20.236689+00:00","updated_at":"2026-07-05T09:30:20.236689+00:00"}