{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:HSEDU7VBNGFEPMJWTWSMFTZNYV","short_pith_number":"pith:HSEDU7VB","canonical_record":{"source":{"id":"1906.08240","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-19T17:38:45Z","cross_cats_sorted":[],"title_canon_sha256":"4ed72429e4f1e4ccfbfd14b4a009160b63003be7e5a2b7d8fd29a63e9faf69b6","abstract_canon_sha256":"c69664b51bb764c4654038e99d50bc4123329b43b5d5df943804763bf782926a"},"schema_version":"1.0"},"canonical_sha256":"3c883a7ea1698a47b1369da4c2cf2dc5770996ddbd9808dba1a6ccf8d3cd34ac","source":{"kind":"arxiv","id":"1906.08240","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.08240","created_at":"2026-07-05T00:52:46Z"},{"alias_kind":"arxiv_version","alias_value":"1906.08240v3","created_at":"2026-07-05T00:52:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.08240","created_at":"2026-07-05T00:52:46Z"},{"alias_kind":"pith_short_12","alias_value":"HSEDU7VBNGFE","created_at":"2026-07-05T00:52:46Z"},{"alias_kind":"pith_short_16","alias_value":"HSEDU7VBNGFEPMJW","created_at":"2026-07-05T00:52:46Z"},{"alias_kind":"pith_short_8","alias_value":"HSEDU7VB","created_at":"2026-07-05T00:52:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:HSEDU7VBNGFEPMJWTWSMFTZNYV","target":"record","payload":{"canonical_record":{"source":{"id":"1906.08240","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-19T17:38:45Z","cross_cats_sorted":[],"title_canon_sha256":"4ed72429e4f1e4ccfbfd14b4a009160b63003be7e5a2b7d8fd29a63e9faf69b6","abstract_canon_sha256":"c69664b51bb764c4654038e99d50bc4123329b43b5d5df943804763bf782926a"},"schema_version":"1.0"},"canonical_sha256":"3c883a7ea1698a47b1369da4c2cf2dc5770996ddbd9808dba1a6ccf8d3cd34ac","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:52:46.485097Z","signature_b64":"EGVwSJ9oUMHrlGHq3y1rnICjnLa4UHtlQIg0WS9tRu5Gir1pvEg6XDGxmP2eGKZP2FdrMrG/mdIa18TNFs9RDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c883a7ea1698a47b1369da4c2cf2dc5770996ddbd9808dba1a6ccf8d3cd34ac","last_reissued_at":"2026-07-05T00:52:46.484522Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:52:46.484522Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.08240","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":"2026-07-05T00:52:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K/vuHWihr2cWOTN5lxMJHl02gHkaVDCSDUReew8W3Yh9qN1bPSiJzOTra0Vef1KeqviAx6LxTthtKXHTeccSDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T08:32:13.732418Z"},"content_sha256":"42480c095872fd9aeffc3173f95a63198b6339543a435357e9245edb6e1e8513","schema_version":"1.0","event_id":"sha256:42480c095872fd9aeffc3173f95a63198b6339543a435357e9245edb6e1e8513"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:HSEDU7VBNGFEPMJWTWSMFTZNYV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural Point-Based Graphics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Artem Sevastopolsky, Dmitry Ulyanov, Kara-Ali Aliev, Maria Kolos, Victor Lempitsky","submitted_at":"2019-06-19T17:38:45Z","abstract_excerpt":"We present a new point-based approach for modeling the appearance of real scenes. The approach uses a raw point cloud as the geometric representation of a scene, and augments each point with a learnable neural descriptor that encodes local geometry and appearance. A deep rendering network is learned in parallel with the descriptors, so that new views of the scene can be obtained by passing the rasterizations of a point cloud from new viewpoints through this network. The input rasterizations use the learned descriptors as point pseudo-colors. We show that the proposed approach can be used for m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.08240","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/1906.08240/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":"2026-07-05T00:52:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1UUdWC1/m1rueTOo4loo5ENVLbsm89mDPaybDJxxq3PFwjlNKt19X3Z1agQBiGXyXmfpLf6mMAaKPOkraKpeBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T08:32:13.732757Z"},"content_sha256":"4eed8ca23d0ca8b354cf25ef5140ee6062eefe3811b0e829325584820d7b5f16","schema_version":"1.0","event_id":"sha256:4eed8ca23d0ca8b354cf25ef5140ee6062eefe3811b0e829325584820d7b5f16"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HSEDU7VBNGFEPMJWTWSMFTZNYV/bundle.json","state_url":"https://pith.science/pith/HSEDU7VBNGFEPMJWTWSMFTZNYV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HSEDU7VBNGFEPMJWTWSMFTZNYV/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":"2026-08-22T08:32:13Z","links":{"resolver":"https://pith.science/pith/HSEDU7VBNGFEPMJWTWSMFTZNYV","bundle":"https://pith.science/pith/HSEDU7VBNGFEPMJWTWSMFTZNYV/bundle.json","state":"https://pith.science/pith/HSEDU7VBNGFEPMJWTWSMFTZNYV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HSEDU7VBNGFEPMJWTWSMFTZNYV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:HSEDU7VBNGFEPMJWTWSMFTZNYV","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":"c69664b51bb764c4654038e99d50bc4123329b43b5d5df943804763bf782926a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-19T17:38:45Z","title_canon_sha256":"4ed72429e4f1e4ccfbfd14b4a009160b63003be7e5a2b7d8fd29a63e9faf69b6"},"schema_version":"1.0","source":{"id":"1906.08240","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.08240","created_at":"2026-07-05T00:52:46Z"},{"alias_kind":"arxiv_version","alias_value":"1906.08240v3","created_at":"2026-07-05T00:52:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.08240","created_at":"2026-07-05T00:52:46Z"},{"alias_kind":"pith_short_12","alias_value":"HSEDU7VBNGFE","created_at":"2026-07-05T00:52:46Z"},{"alias_kind":"pith_short_16","alias_value":"HSEDU7VBNGFEPMJW","created_at":"2026-07-05T00:52:46Z"},{"alias_kind":"pith_short_8","alias_value":"HSEDU7VB","created_at":"2026-07-05T00:52:46Z"}],"graph_snapshots":[{"event_id":"sha256:4eed8ca23d0ca8b354cf25ef5140ee6062eefe3811b0e829325584820d7b5f16","target":"graph","created_at":"2026-07-05T00:52:46Z","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/1906.08240/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a new point-based approach for modeling the appearance of real scenes. The approach uses a raw point cloud as the geometric representation of a scene, and augments each point with a learnable neural descriptor that encodes local geometry and appearance. A deep rendering network is learned in parallel with the descriptors, so that new views of the scene can be obtained by passing the rasterizations of a point cloud from new viewpoints through this network. The input rasterizations use the learned descriptors as point pseudo-colors. We show that the proposed approach can be used for m","authors_text":"Artem Sevastopolsky, Dmitry Ulyanov, Kara-Ali Aliev, Maria Kolos, Victor Lempitsky","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-19T17:38:45Z","title":"Neural Point-Based Graphics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.08240","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":"sha256:42480c095872fd9aeffc3173f95a63198b6339543a435357e9245edb6e1e8513","target":"record","created_at":"2026-07-05T00:52:46Z","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":"c69664b51bb764c4654038e99d50bc4123329b43b5d5df943804763bf782926a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-19T17:38:45Z","title_canon_sha256":"4ed72429e4f1e4ccfbfd14b4a009160b63003be7e5a2b7d8fd29a63e9faf69b6"},"schema_version":"1.0","source":{"id":"1906.08240","kind":"arxiv","version":3}},"canonical_sha256":"3c883a7ea1698a47b1369da4c2cf2dc5770996ddbd9808dba1a6ccf8d3cd34ac","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c883a7ea1698a47b1369da4c2cf2dc5770996ddbd9808dba1a6ccf8d3cd34ac","first_computed_at":"2026-07-05T00:52:46.484522Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:52:46.484522Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EGVwSJ9oUMHrlGHq3y1rnICjnLa4UHtlQIg0WS9tRu5Gir1pvEg6XDGxmP2eGKZP2FdrMrG/mdIa18TNFs9RDg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:52:46.485097Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.08240","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:42480c095872fd9aeffc3173f95a63198b6339543a435357e9245edb6e1e8513","sha256:4eed8ca23d0ca8b354cf25ef5140ee6062eefe3811b0e829325584820d7b5f16"],"state_sha256":"75f853617390b0d4234617c7bb7bd536970c7ce587c1c6f5b64de72d5243027f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CF9qPaaCkVMgBMHkIVzYhJi4ndig+GcdyQ/yXLPvwbMRaz0hdyExzbPqd0dXEdcuM3A5ye94IjRFE1FGI8R7CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T08:32:13.736779Z","bundle_sha256":"60cd69c95c5c3c6c1e4a01cd136242ed6ad1df39d948d0657a92223120fa1248"}}