{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CHWYLVTOPEXCDUM57ANKBAK2SO","short_pith_number":"pith:CHWYLVTO","canonical_record":{"source":{"id":"2405.09717","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-15T22:18:39Z","cross_cats_sorted":[],"title_canon_sha256":"31a3dd1eb3cfc21adbff8cd834a4b04f87e1665509cf7ac93009e8301f75994a","abstract_canon_sha256":"74e2e67e24511f5dc799e14b0ee93075570e8304b3912da2b2a46c7a7187da87"},"schema_version":"1.0"},"canonical_sha256":"11ed85d66e792e21d19df81aa0815a93a94116618eb483a6acd70db91b871e6d","source":{"kind":"arxiv","id":"2405.09717","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.09717","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"arxiv_version","alias_value":"2405.09717v3","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.09717","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_12","alias_value":"CHWYLVTOPEXC","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_16","alias_value":"CHWYLVTOPEXCDUM5","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_8","alias_value":"CHWYLVTO","created_at":"2026-07-05T08:54:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CHWYLVTOPEXCDUM57ANKBAK2SO","target":"record","payload":{"canonical_record":{"source":{"id":"2405.09717","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-15T22:18:39Z","cross_cats_sorted":[],"title_canon_sha256":"31a3dd1eb3cfc21adbff8cd834a4b04f87e1665509cf7ac93009e8301f75994a","abstract_canon_sha256":"74e2e67e24511f5dc799e14b0ee93075570e8304b3912da2b2a46c7a7187da87"},"schema_version":"1.0"},"canonical_sha256":"11ed85d66e792e21d19df81aa0815a93a94116618eb483a6acd70db91b871e6d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:54:50.961562Z","signature_b64":"GRD/txVZXy0dfN9hbvlcOHtdPkp/rYHZ1PeJHh1TYglZIPBmIxwRN6zN+NldTIYHufQsLdaz/QpqM37nsaIKAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"11ed85d66e792e21d19df81aa0815a93a94116618eb483a6acd70db91b871e6d","last_reissued_at":"2026-07-05T08:54:50.961109Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:54:50.961109Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.09717","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:54:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PAQdg3WGqPs8MC2gnSGKkWjnYMjOsN8ah9H2JmzY1B0BP5E96Ng6zaVy01UKq58YL242LNZR1h1WFqx+2vCEAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:41:22.896845Z"},"content_sha256":"300197f2de1d3b6bd788b7bcb2ee57e27b65937a7594ed1259a800a9fede85bf","schema_version":"1.0","event_id":"sha256:300197f2de1d3b6bd788b7bcb2ee57e27b65937a7594ed1259a800a9fede85bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CHWYLVTOPEXCDUM57ANKBAK2SO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From NeRFs to Gaussian Splats, and Back","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Pratik Chaudhari, Siming He, Zach Osman","submitted_at":"2024-05-15T22:18:39Z","abstract_excerpt":"For robotics applications where there is a limited number of (typically ego-centric) views, parametric representations such as neural radiance fields (NeRFs) generalize better than non-parametric ones such as Gaussian splatting (GS) to views that are very different from those in the training data; GS however can render much faster than NeRFs. We develop a procedure to convert back and forth between the two. Our approach achieves the best of both NeRFs (superior PSNR, SSIM, and LPIPS on dissimilar views, and a compact representation) and GS (real-time rendering and ability for easily modifying "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.09717","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/2405.09717/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:54:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gGsoz7Up7q3hiH0JRxpSbHGHwPmQ9QLtVa5vu4EU2VeRfYLTSBm3X4DNE577TsFPQpuZ41E1qfVQu+EqvOUZAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T03:41:22.897281Z"},"content_sha256":"a4fb83b552030db7bb0250d6b1bcc5a440e809f30ee8f0eba25499a21f7135f6","schema_version":"1.0","event_id":"sha256:a4fb83b552030db7bb0250d6b1bcc5a440e809f30ee8f0eba25499a21f7135f6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CHWYLVTOPEXCDUM57ANKBAK2SO/bundle.json","state_url":"https://pith.science/pith/CHWYLVTOPEXCDUM57ANKBAK2SO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CHWYLVTOPEXCDUM57ANKBAK2SO/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T03:41:22Z","links":{"resolver":"https://pith.science/pith/CHWYLVTOPEXCDUM57ANKBAK2SO","bundle":"https://pith.science/pith/CHWYLVTOPEXCDUM57ANKBAK2SO/bundle.json","state":"https://pith.science/pith/CHWYLVTOPEXCDUM57ANKBAK2SO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CHWYLVTOPEXCDUM57ANKBAK2SO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CHWYLVTOPEXCDUM57ANKBAK2SO","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"74e2e67e24511f5dc799e14b0ee93075570e8304b3912da2b2a46c7a7187da87","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-15T22:18:39Z","title_canon_sha256":"31a3dd1eb3cfc21adbff8cd834a4b04f87e1665509cf7ac93009e8301f75994a"},"schema_version":"1.0","source":{"id":"2405.09717","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.09717","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"arxiv_version","alias_value":"2405.09717v3","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.09717","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_12","alias_value":"CHWYLVTOPEXC","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_16","alias_value":"CHWYLVTOPEXCDUM5","created_at":"2026-07-05T08:54:50Z"},{"alias_kind":"pith_short_8","alias_value":"CHWYLVTO","created_at":"2026-07-05T08:54:50Z"}],"graph_snapshots":[{"event_id":"sha256:a4fb83b552030db7bb0250d6b1bcc5a440e809f30ee8f0eba25499a21f7135f6","target":"graph","created_at":"2026-07-05T08:54:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2405.09717/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"For robotics applications where there is a limited number of (typically ego-centric) views, parametric representations such as neural radiance fields (NeRFs) generalize better than non-parametric ones such as Gaussian splatting (GS) to views that are very different from those in the training data; GS however can render much faster than NeRFs. We develop a procedure to convert back and forth between the two. Our approach achieves the best of both NeRFs (superior PSNR, SSIM, and LPIPS on dissimilar views, and a compact representation) and GS (real-time rendering and ability for easily modifying ","authors_text":"Pratik Chaudhari, Siming He, Zach Osman","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-15T22:18:39Z","title":"From NeRFs to Gaussian Splats, and Back"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.09717","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:300197f2de1d3b6bd788b7bcb2ee57e27b65937a7594ed1259a800a9fede85bf","target":"record","created_at":"2026-07-05T08:54:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"74e2e67e24511f5dc799e14b0ee93075570e8304b3912da2b2a46c7a7187da87","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-15T22:18:39Z","title_canon_sha256":"31a3dd1eb3cfc21adbff8cd834a4b04f87e1665509cf7ac93009e8301f75994a"},"schema_version":"1.0","source":{"id":"2405.09717","kind":"arxiv","version":3}},"canonical_sha256":"11ed85d66e792e21d19df81aa0815a93a94116618eb483a6acd70db91b871e6d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11ed85d66e792e21d19df81aa0815a93a94116618eb483a6acd70db91b871e6d","first_computed_at":"2026-07-05T08:54:50.961109Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:50.961109Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GRD/txVZXy0dfN9hbvlcOHtdPkp/rYHZ1PeJHh1TYglZIPBmIxwRN6zN+NldTIYHufQsLdaz/QpqM37nsaIKAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:50.961562Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.09717","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:300197f2de1d3b6bd788b7bcb2ee57e27b65937a7594ed1259a800a9fede85bf","sha256:a4fb83b552030db7bb0250d6b1bcc5a440e809f30ee8f0eba25499a21f7135f6"],"state_sha256":"695dd501011d2ad6605d6a299b3ee31407db0819afb2bbac2c5e2e085e5db6e6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y4+PhS8CzZKZPHq+CWUg+RKVlpnFAhqiQjFEQ21o1rCd8Z/PL0B3mhr9If8LsfYlJkTyrjeu6AB4lx17CJ9NDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T03:41:22.900000Z","bundle_sha256":"0bde1e75ce8ef656d368285d49b11b64cb73294c81c3ce65bb0a7978e889e404"}}