{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ARVKMDP2CMZT333HLAQXHZUDZE","short_pith_number":"pith:ARVKMDP2","schema_version":"1.0","canonical_sha256":"046aa60dfa13333def67582173e683c93f20685c0f0b6f808507390847dae8d1","source":{"kind":"arxiv","id":"2407.16503","version":1},"attestation_state":"computed","paper":{"title":"HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Aryan Garg, Kaushik Mitra, Shreyas Singh","submitted_at":"2024-07-23T14:21:00Z","abstract_excerpt":"The recent advent of 3D Gaussian Splatting (3DGS) has revolutionized the 3D scene reconstruction space enabling high-fidelity novel view synthesis in real-time. However, with the exception of RawNeRF, all prior 3DGS and NeRF-based methods rely on 8-bit tone-mapped Low Dynamic Range (LDR) images for scene reconstruction. Such methods struggle to achieve accurate reconstructions in scenes that require a higher dynamic range. Examples include scenes captured in nighttime or poorly lit indoor spaces having a low signal-to-noise ratio, as well as daylight scenes with shadow regions exhibiting extre"},"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":"2407.16503","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-23T14:21:00Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"3795d33fe8c62b86eb9e8ef023f805ea7b80b51d64853b71f0a4ff9bfd27dbf0","abstract_canon_sha256":"aaaf9e9a0ef562d16d2842a3d0a206dbd87cda092e1b04f0037004c0d4189fef"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:47:34.372335Z","signature_b64":"Yy41lwLg8zN2kadB122bfyVNkQ5knatI54tT8H34XheewRrZjTKClRosBiNVTBl/hgEf7+/XZwm9WUb1LofnAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"046aa60dfa13333def67582173e683c93f20685c0f0b6f808507390847dae8d1","last_reissued_at":"2026-07-05T08:47:34.371876Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:47:34.371876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HDRSplat: Gaussian Splatting for High Dynamic Range 3D Scene Reconstruction from Raw Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Aryan Garg, Kaushik Mitra, Shreyas Singh","submitted_at":"2024-07-23T14:21:00Z","abstract_excerpt":"The recent advent of 3D Gaussian Splatting (3DGS) has revolutionized the 3D scene reconstruction space enabling high-fidelity novel view synthesis in real-time. However, with the exception of RawNeRF, all prior 3DGS and NeRF-based methods rely on 8-bit tone-mapped Low Dynamic Range (LDR) images for scene reconstruction. Such methods struggle to achieve accurate reconstructions in scenes that require a higher dynamic range. Examples include scenes captured in nighttime or poorly lit indoor spaces having a low signal-to-noise ratio, as well as daylight scenes with shadow regions exhibiting extre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.16503","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/2407.16503/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":"2407.16503","created_at":"2026-07-05T08:47:34.371931+00:00"},{"alias_kind":"arxiv_version","alias_value":"2407.16503v1","created_at":"2026-07-05T08:47:34.371931+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.16503","created_at":"2026-07-05T08:47:34.371931+00:00"},{"alias_kind":"pith_short_12","alias_value":"ARVKMDP2CMZT","created_at":"2026-07-05T08:47:34.371931+00:00"},{"alias_kind":"pith_short_16","alias_value":"ARVKMDP2CMZT333H","created_at":"2026-07-05T08:47:34.371931+00:00"},{"alias_kind":"pith_short_8","alias_value":"ARVKMDP2","created_at":"2026-07-05T08:47:34.371931+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/ARVKMDP2CMZT333HLAQXHZUDZE","json":"https://pith.science/pith/ARVKMDP2CMZT333HLAQXHZUDZE.json","graph_json":"https://pith.science/api/pith-number/ARVKMDP2CMZT333HLAQXHZUDZE/graph.json","events_json":"https://pith.science/api/pith-number/ARVKMDP2CMZT333HLAQXHZUDZE/events.json","paper":"https://pith.science/paper/ARVKMDP2"},"agent_actions":{"view_html":"https://pith.science/pith/ARVKMDP2CMZT333HLAQXHZUDZE","download_json":"https://pith.science/pith/ARVKMDP2CMZT333HLAQXHZUDZE.json","view_paper":"https://pith.science/paper/ARVKMDP2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2407.16503&json=true","fetch_graph":"https://pith.science/api/pith-number/ARVKMDP2CMZT333HLAQXHZUDZE/graph.json","fetch_events":"https://pith.science/api/pith-number/ARVKMDP2CMZT333HLAQXHZUDZE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ARVKMDP2CMZT333HLAQXHZUDZE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ARVKMDP2CMZT333HLAQXHZUDZE/action/storage_attestation","attest_author":"https://pith.science/pith/ARVKMDP2CMZT333HLAQXHZUDZE/action/author_attestation","sign_citation":"https://pith.science/pith/ARVKMDP2CMZT333HLAQXHZUDZE/action/citation_signature","submit_replication":"https://pith.science/pith/ARVKMDP2CMZT333HLAQXHZUDZE/action/replication_record"}},"created_at":"2026-07-05T08:47:34.371931+00:00","updated_at":"2026-07-05T08:47:34.371931+00:00"}