{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WPSP6HLTWYU77EASHWMSJHIO6V","short_pith_number":"pith:WPSP6HLT","canonical_record":{"source":{"id":"2304.13518","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-26T12:54:40Z","cross_cats_sorted":[],"title_canon_sha256":"9dc4e1fd1b507d1de701cdafba442e51418881a153f49586a7bce32d81b25daf","abstract_canon_sha256":"c1f51ebcedc009780c3e55effcb4e61ff9414220824ae4654df85c614c3901bb"},"schema_version":"1.0"},"canonical_sha256":"b3e4ff1d73b629ff90123d99249d0ef56c9e4a9f7de2aeaf7822664611091589","source":{"kind":"arxiv","id":"2304.13518","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.13518","created_at":"2026-07-05T06:04:45Z"},{"alias_kind":"arxiv_version","alias_value":"2304.13518v1","created_at":"2026-07-05T06:04:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.13518","created_at":"2026-07-05T06:04:45Z"},{"alias_kind":"pith_short_12","alias_value":"WPSP6HLTWYU7","created_at":"2026-07-05T06:04:45Z"},{"alias_kind":"pith_short_16","alias_value":"WPSP6HLTWYU77EAS","created_at":"2026-07-05T06:04:45Z"},{"alias_kind":"pith_short_8","alias_value":"WPSP6HLT","created_at":"2026-07-05T06:04:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WPSP6HLTWYU77EASHWMSJHIO6V","target":"record","payload":{"canonical_record":{"source":{"id":"2304.13518","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-26T12:54:40Z","cross_cats_sorted":[],"title_canon_sha256":"9dc4e1fd1b507d1de701cdafba442e51418881a153f49586a7bce32d81b25daf","abstract_canon_sha256":"c1f51ebcedc009780c3e55effcb4e61ff9414220824ae4654df85c614c3901bb"},"schema_version":"1.0"},"canonical_sha256":"b3e4ff1d73b629ff90123d99249d0ef56c9e4a9f7de2aeaf7822664611091589","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:04:45.015906Z","signature_b64":"MnVXAzhCh2fd5yzNHaknO1s338s6+MrvDZMFFLc4rMH2ca1DS1RKD0NKJAo23GoFUdeksQRzvjU0eUsK1MnmCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3e4ff1d73b629ff90123d99249d0ef56c9e4a9f7de2aeaf7822664611091589","last_reissued_at":"2026-07-05T06:04:45.015519Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:04:45.015519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.13518","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:04:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5TslWoV31OWDcSMxnfM9CTmsV6oSG8jBYEE7ukI+yUJpFHR4NtkqtuuTs90v6VkB7QHVHCgb4THid/7tCnm9CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:54:24.661067Z"},"content_sha256":"771d9700b19a175ab9a79c752844e0c0f7ce05e182e9e9b04520c385f0aef76d","schema_version":"1.0","event_id":"sha256:771d9700b19a175ab9a79c752844e0c0f7ce05e182e9e9b04520c385f0aef76d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WPSP6HLTWYU77EASHWMSJHIO6V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Super-NeRF: View-consistent Detail Generation for NeRF super-resolution","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Qionghai Dai, Tao Yu, Xiaohang Yu, Yuqi Han, Yuwang Wang","submitted_at":"2023-04-26T12:54:40Z","abstract_excerpt":"The neural radiance field (NeRF) achieved remarkable success in modeling 3D scenes and synthesizing high-fidelity novel views. However, existing NeRF-based methods focus more on the make full use of the image resolution to generate novel views, but less considering the generation of details under the limited input resolution. In analogy to the extensive usage of image super-resolution, NeRF super-resolution is an effective way to generate the high-resolution implicit representation of 3D scenes and holds great potential applications. Up to now, such an important topic is still under-explored. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.13518","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/2304.13518/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":"2026-07-05T06:04:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0Ny44ns6hUExxQDBUpJq5wpimWxVA4UrZiCCnEiy/RWb1i9zqLiQqIii3v/f0bipji1S7WfTRNAaidU7X6zBCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:54:24.661556Z"},"content_sha256":"f20955a48221546250753ffadbf4624b060539f4648b2d14bf1bf4a6490a9dc4","schema_version":"1.0","event_id":"sha256:f20955a48221546250753ffadbf4624b060539f4648b2d14bf1bf4a6490a9dc4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WPSP6HLTWYU77EASHWMSJHIO6V/bundle.json","state_url":"https://pith.science/pith/WPSP6HLTWYU77EASHWMSJHIO6V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WPSP6HLTWYU77EASHWMSJHIO6V/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":"2026-08-07T23:54:24Z","links":{"resolver":"https://pith.science/pith/WPSP6HLTWYU77EASHWMSJHIO6V","bundle":"https://pith.science/pith/WPSP6HLTWYU77EASHWMSJHIO6V/bundle.json","state":"https://pith.science/pith/WPSP6HLTWYU77EASHWMSJHIO6V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WPSP6HLTWYU77EASHWMSJHIO6V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WPSP6HLTWYU77EASHWMSJHIO6V","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":"c1f51ebcedc009780c3e55effcb4e61ff9414220824ae4654df85c614c3901bb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-26T12:54:40Z","title_canon_sha256":"9dc4e1fd1b507d1de701cdafba442e51418881a153f49586a7bce32d81b25daf"},"schema_version":"1.0","source":{"id":"2304.13518","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.13518","created_at":"2026-07-05T06:04:45Z"},{"alias_kind":"arxiv_version","alias_value":"2304.13518v1","created_at":"2026-07-05T06:04:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.13518","created_at":"2026-07-05T06:04:45Z"},{"alias_kind":"pith_short_12","alias_value":"WPSP6HLTWYU7","created_at":"2026-07-05T06:04:45Z"},{"alias_kind":"pith_short_16","alias_value":"WPSP6HLTWYU77EAS","created_at":"2026-07-05T06:04:45Z"},{"alias_kind":"pith_short_8","alias_value":"WPSP6HLT","created_at":"2026-07-05T06:04:45Z"}],"graph_snapshots":[{"event_id":"sha256:f20955a48221546250753ffadbf4624b060539f4648b2d14bf1bf4a6490a9dc4","target":"graph","created_at":"2026-07-05T06:04:45Z","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/2304.13518/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The neural radiance field (NeRF) achieved remarkable success in modeling 3D scenes and synthesizing high-fidelity novel views. However, existing NeRF-based methods focus more on the make full use of the image resolution to generate novel views, but less considering the generation of details under the limited input resolution. In analogy to the extensive usage of image super-resolution, NeRF super-resolution is an effective way to generate the high-resolution implicit representation of 3D scenes and holds great potential applications. Up to now, such an important topic is still under-explored. ","authors_text":"Qionghai Dai, Tao Yu, Xiaohang Yu, Yuqi Han, Yuwang Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-26T12:54:40Z","title":"Super-NeRF: View-consistent Detail Generation for NeRF super-resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.13518","kind":"arxiv","version":1},"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":"sha256:771d9700b19a175ab9a79c752844e0c0f7ce05e182e9e9b04520c385f0aef76d","target":"record","created_at":"2026-07-05T06:04:45Z","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":"c1f51ebcedc009780c3e55effcb4e61ff9414220824ae4654df85c614c3901bb","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-26T12:54:40Z","title_canon_sha256":"9dc4e1fd1b507d1de701cdafba442e51418881a153f49586a7bce32d81b25daf"},"schema_version":"1.0","source":{"id":"2304.13518","kind":"arxiv","version":1}},"canonical_sha256":"b3e4ff1d73b629ff90123d99249d0ef56c9e4a9f7de2aeaf7822664611091589","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3e4ff1d73b629ff90123d99249d0ef56c9e4a9f7de2aeaf7822664611091589","first_computed_at":"2026-07-05T06:04:45.015519Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:04:45.015519Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MnVXAzhCh2fd5yzNHaknO1s338s6+MrvDZMFFLc4rMH2ca1DS1RKD0NKJAo23GoFUdeksQRzvjU0eUsK1MnmCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:04:45.015906Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.13518","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:771d9700b19a175ab9a79c752844e0c0f7ce05e182e9e9b04520c385f0aef76d","sha256:f20955a48221546250753ffadbf4624b060539f4648b2d14bf1bf4a6490a9dc4"],"state_sha256":"cc3f8bff72042d37597ac608221ba75fb4b318cfed7b01c8133fb1ba3d9982b3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nbYyL69mmzuRKKmjbwBkC/gTaqJO9KuGGEvrGLqA2o2Bp8u/mug2L5KEEvQz2KYl9cgCe/faMzdJbmslFxLvDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T23:54:24.665247Z","bundle_sha256":"a0f747a5092db1d695aab801082a538ad14ba32a848de26d38a3b147bcdd753a"}}