{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:3C6ZHMJ3LNGMMNCXMJRKG3XX4X","short_pith_number":"pith:3C6ZHMJ3","canonical_record":{"source":{"id":"2003.09852","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-22T10:20:13Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"bb9ab4fdf90c2e03a545656477a8e6dd8b33645673dbd70c2953469c718f87b4","abstract_canon_sha256":"e27a6a53bd142111343b81704267a57ac3076271dd91a483f410fdd178e0f568"},"schema_version":"1.0"},"canonical_sha256":"d8bd93b13b5b4cc634576262a36ef7e5d67ce154575020aa14206515da9a54ad","source":{"kind":"arxiv","id":"2003.09852","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.09852","created_at":"2026-07-05T01:45:42Z"},{"alias_kind":"arxiv_version","alias_value":"2003.09852v3","created_at":"2026-07-05T01:45:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.09852","created_at":"2026-07-05T01:45:42Z"},{"alias_kind":"pith_short_12","alias_value":"3C6ZHMJ3LNGM","created_at":"2026-07-05T01:45:42Z"},{"alias_kind":"pith_short_16","alias_value":"3C6ZHMJ3LNGMMNCX","created_at":"2026-07-05T01:45:42Z"},{"alias_kind":"pith_short_8","alias_value":"3C6ZHMJ3","created_at":"2026-07-05T01:45:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:3C6ZHMJ3LNGMMNCXMJRKG3XX4X","target":"record","payload":{"canonical_record":{"source":{"id":"2003.09852","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-22T10:20:13Z","cross_cats_sorted":["cs.GR","cs.LG"],"title_canon_sha256":"bb9ab4fdf90c2e03a545656477a8e6dd8b33645673dbd70c2953469c718f87b4","abstract_canon_sha256":"e27a6a53bd142111343b81704267a57ac3076271dd91a483f410fdd178e0f568"},"schema_version":"1.0"},"canonical_sha256":"d8bd93b13b5b4cc634576262a36ef7e5d67ce154575020aa14206515da9a54ad","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:45:42.194653Z","signature_b64":"gDZNrWY81P98cpWQh3+bFCjXHoGt3zqKmb0JmwrgmeTMwkEzHAhSRd6QE4cYdQiaJ0V3x0PN7Am1ETEun5SMDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d8bd93b13b5b4cc634576262a36ef7e5d67ce154575020aa14206515da9a54ad","last_reissued_at":"2026-07-05T01:45:42.194244Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:45:42.194244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.09852","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":"2026-07-05T01:45:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eqU5MNAgnlfb/elJl/Lo8JnFDYiFmQtT19R1EpqtT8nfsbTf8bgTNKYrISNG0jbHT/liYTmDgIp1jidqruSaDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T09:47:14.567038Z"},"content_sha256":"02dbc0f436e503b27db3b3ab085026559ac103c8ae5e59431c11149dc6130aef","schema_version":"1.0","event_id":"sha256:02dbc0f436e503b27db3b3ab085026559ac103c8ae5e59431c11149dc6130aef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:3C6ZHMJ3LNGMMNCXMJRKG3XX4X","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.GR","cs.LG"],"primary_cat":"cs.CV","authors_text":"Dror Moran, Lior Yariv, Matan Atzmon, Meirav Galun, Ronen Basri, Yaron Lipman, Yoni Kasten","submitted_at":"2020-03-22T10:20:13Z","abstract_excerpt":"In this work we address the challenging problem of multiview 3D surface reconstruction. We introduce a neural network architecture that simultaneously learns the unknown geometry, camera parameters, and a neural renderer that approximates the light reflected from the surface towards the camera. The geometry is represented as a zero level-set of a neural network, while the neural renderer, derived from the rendering equation, is capable of (implicitly) modeling a wide set of lighting conditions and materials. We trained our network on real world 2D images of objects with different material prop"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.09852","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/2003.09852/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":"2026-07-05T01:45:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DHREjew7hJfhG3MH52vecMInvVHJkr1bzYvBEvffTo9mvX9ue8WkX1ShiBQbcdTtB49dPiCP9+ENf496I6tzDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T09:47:14.567530Z"},"content_sha256":"b43328cdec91e3c3ed0e6ac45ab8b86e53c3322a40862ab97d549b667c193a77","schema_version":"1.0","event_id":"sha256:b43328cdec91e3c3ed0e6ac45ab8b86e53c3322a40862ab97d549b667c193a77"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3C6ZHMJ3LNGMMNCXMJRKG3XX4X/bundle.json","state_url":"https://pith.science/pith/3C6ZHMJ3LNGMMNCXMJRKG3XX4X/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3C6ZHMJ3LNGMMNCXMJRKG3XX4X/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":"2026-08-23T09:47:14Z","links":{"resolver":"https://pith.science/pith/3C6ZHMJ3LNGMMNCXMJRKG3XX4X","bundle":"https://pith.science/pith/3C6ZHMJ3LNGMMNCXMJRKG3XX4X/bundle.json","state":"https://pith.science/pith/3C6ZHMJ3LNGMMNCXMJRKG3XX4X/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3C6ZHMJ3LNGMMNCXMJRKG3XX4X/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:3C6ZHMJ3LNGMMNCXMJRKG3XX4X","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":"e27a6a53bd142111343b81704267a57ac3076271dd91a483f410fdd178e0f568","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-22T10:20:13Z","title_canon_sha256":"bb9ab4fdf90c2e03a545656477a8e6dd8b33645673dbd70c2953469c718f87b4"},"schema_version":"1.0","source":{"id":"2003.09852","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.09852","created_at":"2026-07-05T01:45:42Z"},{"alias_kind":"arxiv_version","alias_value":"2003.09852v3","created_at":"2026-07-05T01:45:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.09852","created_at":"2026-07-05T01:45:42Z"},{"alias_kind":"pith_short_12","alias_value":"3C6ZHMJ3LNGM","created_at":"2026-07-05T01:45:42Z"},{"alias_kind":"pith_short_16","alias_value":"3C6ZHMJ3LNGMMNCX","created_at":"2026-07-05T01:45:42Z"},{"alias_kind":"pith_short_8","alias_value":"3C6ZHMJ3","created_at":"2026-07-05T01:45:42Z"}],"graph_snapshots":[{"event_id":"sha256:b43328cdec91e3c3ed0e6ac45ab8b86e53c3322a40862ab97d549b667c193a77","target":"graph","created_at":"2026-07-05T01:45:42Z","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/2003.09852/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work we address the challenging problem of multiview 3D surface reconstruction. We introduce a neural network architecture that simultaneously learns the unknown geometry, camera parameters, and a neural renderer that approximates the light reflected from the surface towards the camera. The geometry is represented as a zero level-set of a neural network, while the neural renderer, derived from the rendering equation, is capable of (implicitly) modeling a wide set of lighting conditions and materials. We trained our network on real world 2D images of objects with different material prop","authors_text":"Dror Moran, Lior Yariv, Matan Atzmon, Meirav Galun, Ronen Basri, Yaron Lipman, Yoni Kasten","cross_cats":["cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-22T10:20:13Z","title":"Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.09852","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":"sha256:02dbc0f436e503b27db3b3ab085026559ac103c8ae5e59431c11149dc6130aef","target":"record","created_at":"2026-07-05T01:45:42Z","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":"e27a6a53bd142111343b81704267a57ac3076271dd91a483f410fdd178e0f568","cross_cats_sorted":["cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-22T10:20:13Z","title_canon_sha256":"bb9ab4fdf90c2e03a545656477a8e6dd8b33645673dbd70c2953469c718f87b4"},"schema_version":"1.0","source":{"id":"2003.09852","kind":"arxiv","version":3}},"canonical_sha256":"d8bd93b13b5b4cc634576262a36ef7e5d67ce154575020aa14206515da9a54ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d8bd93b13b5b4cc634576262a36ef7e5d67ce154575020aa14206515da9a54ad","first_computed_at":"2026-07-05T01:45:42.194244Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:45:42.194244Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gDZNrWY81P98cpWQh3+bFCjXHoGt3zqKmb0JmwrgmeTMwkEzHAhSRd6QE4cYdQiaJ0V3x0PN7Am1ETEun5SMDw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:45:42.194653Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.09852","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02dbc0f436e503b27db3b3ab085026559ac103c8ae5e59431c11149dc6130aef","sha256:b43328cdec91e3c3ed0e6ac45ab8b86e53c3322a40862ab97d549b667c193a77"],"state_sha256":"c2d89066446583efbc708c5a76ecb47f50770d4e801423895a1e57b5ac6787e6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PJ63QZOUvIJ9Fq73khJHOcimfKe0yfUbBoD79Q7DKzfxGzrnAu6NDM/g6PwOruo6CotHUeEAjdZ18Xg5avG+Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T09:47:14.571191Z","bundle_sha256":"a253578edf832e11fc8b9da4c3a606bfe66e7b1b9486cdf4595d2164736b27bb"}}