{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:6GQPM5O3VFLW6K2MONDLSA7N4E","short_pith_number":"pith:6GQPM5O3","canonical_record":{"source":{"id":"2205.05869","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-12T03:54:35Z","cross_cats_sorted":[],"title_canon_sha256":"8fb55831d229f907a794cb9f27db0b822884a751c0d3ba3ddbcea404cf3f865e","abstract_canon_sha256":"1118562a59c41bb4a9ac4dfce781fea436e551e527af77fc44cac5553fcc3ef0"},"schema_version":"1.0"},"canonical_sha256":"f1a0f675dba9576f2b4c7346b903ede123bb1a90386b002a9ceea57dfbf0ab53","source":{"kind":"arxiv","id":"2205.05869","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.05869","created_at":"2026-07-05T05:48:33Z"},{"alias_kind":"arxiv_version","alias_value":"2205.05869v2","created_at":"2026-07-05T05:48:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.05869","created_at":"2026-07-05T05:48:33Z"},{"alias_kind":"pith_short_12","alias_value":"6GQPM5O3VFLW","created_at":"2026-07-05T05:48:33Z"},{"alias_kind":"pith_short_16","alias_value":"6GQPM5O3VFLW6K2M","created_at":"2026-07-05T05:48:33Z"},{"alias_kind":"pith_short_8","alias_value":"6GQPM5O3","created_at":"2026-07-05T05:48:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:6GQPM5O3VFLW6K2MONDLSA7N4E","target":"record","payload":{"canonical_record":{"source":{"id":"2205.05869","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-12T03:54:35Z","cross_cats_sorted":[],"title_canon_sha256":"8fb55831d229f907a794cb9f27db0b822884a751c0d3ba3ddbcea404cf3f865e","abstract_canon_sha256":"1118562a59c41bb4a9ac4dfce781fea436e551e527af77fc44cac5553fcc3ef0"},"schema_version":"1.0"},"canonical_sha256":"f1a0f675dba9576f2b4c7346b903ede123bb1a90386b002a9ceea57dfbf0ab53","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:48:33.547768Z","signature_b64":"IiZ2yPKbf9dk1qMQRsdzEVijeycMPdY+6PKiruvCn6pY6LTiBUbntKM443sPzdwPQJT/UH7lvJpbF9tHSMMeDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1a0f675dba9576f2b4c7346b903ede123bb1a90386b002a9ceea57dfbf0ab53","last_reissued_at":"2026-07-05T05:48:33.547419Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:48:33.547419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.05869","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:48:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+dByL2axzzeGxgnBnUD+NpDbiIVnL/1PnCUHiVzYMYlIOgLXSn1pNS6uh8t8wAiT+Hz6wEcQQSTRm+CIa9KsDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T10:43:36.269903Z"},"content_sha256":"c0313e938b6d0e8ac5c018ea64374e704f905e2088f31cebe7be555402cb368b","schema_version":"1.0","event_id":"sha256:c0313e938b6d0e8ac5c018ea64374e704f905e2088f31cebe7be555402cb368b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:6GQPM5O3VFLW6K2MONDLSA7N4E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"View Synthesis with Sculpted Neural Points","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jia Deng, Yiming Zuo","submitted_at":"2022-05-12T03:54:35Z","abstract_excerpt":"We address the task of view synthesis, generating novel views of a scene given a set of images as input. In many recent works such as NeRF (Mildenhall et al., 2020), the scene geometry is parameterized using neural implicit representations (i.e., MLPs). Implicit neural representations have achieved impressive visual quality but have drawbacks in computational efficiency. In this work, we propose a new approach that performs view synthesis using point clouds. It is the first point-based method that achieves better visual quality than NeRF while being 100x faster in rendering speed. Our approach"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.05869","kind":"arxiv","version":2},"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/2205.05869/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":"2026-07-05T05:48:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nL29fPZC6n+ExDaez3bmXlij5oqH34YVT0WHBJoz3cU0ddyaK5JnDmhRcJqIe27aNrnTIyUL/xFlstX2sZ/OBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T10:43:36.270816Z"},"content_sha256":"238942001ede9132672f44cfb295c44fa95e5e0e9d497ce6f48fb33c725bec2e","schema_version":"1.0","event_id":"sha256:238942001ede9132672f44cfb295c44fa95e5e0e9d497ce6f48fb33c725bec2e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6GQPM5O3VFLW6K2MONDLSA7N4E/bundle.json","state_url":"https://pith.science/pith/6GQPM5O3VFLW6K2MONDLSA7N4E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6GQPM5O3VFLW6K2MONDLSA7N4E/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":"2026-08-15T10:43:36Z","links":{"resolver":"https://pith.science/pith/6GQPM5O3VFLW6K2MONDLSA7N4E","bundle":"https://pith.science/pith/6GQPM5O3VFLW6K2MONDLSA7N4E/bundle.json","state":"https://pith.science/pith/6GQPM5O3VFLW6K2MONDLSA7N4E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6GQPM5O3VFLW6K2MONDLSA7N4E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:6GQPM5O3VFLW6K2MONDLSA7N4E","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":"1118562a59c41bb4a9ac4dfce781fea436e551e527af77fc44cac5553fcc3ef0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-12T03:54:35Z","title_canon_sha256":"8fb55831d229f907a794cb9f27db0b822884a751c0d3ba3ddbcea404cf3f865e"},"schema_version":"1.0","source":{"id":"2205.05869","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.05869","created_at":"2026-07-05T05:48:33Z"},{"alias_kind":"arxiv_version","alias_value":"2205.05869v2","created_at":"2026-07-05T05:48:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.05869","created_at":"2026-07-05T05:48:33Z"},{"alias_kind":"pith_short_12","alias_value":"6GQPM5O3VFLW","created_at":"2026-07-05T05:48:33Z"},{"alias_kind":"pith_short_16","alias_value":"6GQPM5O3VFLW6K2M","created_at":"2026-07-05T05:48:33Z"},{"alias_kind":"pith_short_8","alias_value":"6GQPM5O3","created_at":"2026-07-05T05:48:33Z"}],"graph_snapshots":[{"event_id":"sha256:238942001ede9132672f44cfb295c44fa95e5e0e9d497ce6f48fb33c725bec2e","target":"graph","created_at":"2026-07-05T05:48:33Z","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/2205.05869/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We address the task of view synthesis, generating novel views of a scene given a set of images as input. In many recent works such as NeRF (Mildenhall et al., 2020), the scene geometry is parameterized using neural implicit representations (i.e., MLPs). Implicit neural representations have achieved impressive visual quality but have drawbacks in computational efficiency. In this work, we propose a new approach that performs view synthesis using point clouds. It is the first point-based method that achieves better visual quality than NeRF while being 100x faster in rendering speed. Our approach","authors_text":"Jia Deng, Yiming Zuo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-12T03:54:35Z","title":"View Synthesis with Sculpted Neural Points"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.05869","kind":"arxiv","version":2},"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:c0313e938b6d0e8ac5c018ea64374e704f905e2088f31cebe7be555402cb368b","target":"record","created_at":"2026-07-05T05:48:33Z","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":"1118562a59c41bb4a9ac4dfce781fea436e551e527af77fc44cac5553fcc3ef0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-05-12T03:54:35Z","title_canon_sha256":"8fb55831d229f907a794cb9f27db0b822884a751c0d3ba3ddbcea404cf3f865e"},"schema_version":"1.0","source":{"id":"2205.05869","kind":"arxiv","version":2}},"canonical_sha256":"f1a0f675dba9576f2b4c7346b903ede123bb1a90386b002a9ceea57dfbf0ab53","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f1a0f675dba9576f2b4c7346b903ede123bb1a90386b002a9ceea57dfbf0ab53","first_computed_at":"2026-07-05T05:48:33.547419Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:48:33.547419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IiZ2yPKbf9dk1qMQRsdzEVijeycMPdY+6PKiruvCn6pY6LTiBUbntKM443sPzdwPQJT/UH7lvJpbF9tHSMMeDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:48:33.547768Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.05869","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0313e938b6d0e8ac5c018ea64374e704f905e2088f31cebe7be555402cb368b","sha256:238942001ede9132672f44cfb295c44fa95e5e0e9d497ce6f48fb33c725bec2e"],"state_sha256":"e71a332ba48790d36efd467a8238a99f58cbc89c40f6210ba2479374d89d0b60"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MiOZgAChorRCDRBRKBbZgM6PPdbBDQnjbcHhxNfHVoeoM3WyyHx8gNfPnQQnErxt2pkR0CwPTifaw8hIqsSzDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T10:43:36.275781Z","bundle_sha256":"787db36c2b1b80ce7b6e63d498085114a384d2ac8ea2d7be54e5377d26f5311f"}}