{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:PX6MJYRERP35IROXUFD2IXVYBH","short_pith_number":"pith:PX6MJYRE","canonical_record":{"source":{"id":"2103.15595","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T13:15:23Z","cross_cats_sorted":[],"title_canon_sha256":"97a69104d60f166cd72b0b3c7ec1fd988f6254f110738eb80296ab33f6ebf7e3","abstract_canon_sha256":"a142d37097ad7f232ed4c314e8190d7ffa072746df5f54193b22458bb8b266af"},"schema_version":"1.0"},"canonical_sha256":"7dfcc4e2248bf7d445d7a147a45eb809e5417769e740e21f59a23da7d84adc00","source":{"kind":"arxiv","id":"2103.15595","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.15595","created_at":"2026-07-05T03:08:07Z"},{"alias_kind":"arxiv_version","alias_value":"2103.15595v2","created_at":"2026-07-05T03:08:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.15595","created_at":"2026-07-05T03:08:07Z"},{"alias_kind":"pith_short_12","alias_value":"PX6MJYRERP35","created_at":"2026-07-05T03:08:07Z"},{"alias_kind":"pith_short_16","alias_value":"PX6MJYRERP35IROX","created_at":"2026-07-05T03:08:07Z"},{"alias_kind":"pith_short_8","alias_value":"PX6MJYRE","created_at":"2026-07-05T03:08:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:PX6MJYRERP35IROXUFD2IXVYBH","target":"record","payload":{"canonical_record":{"source":{"id":"2103.15595","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T13:15:23Z","cross_cats_sorted":[],"title_canon_sha256":"97a69104d60f166cd72b0b3c7ec1fd988f6254f110738eb80296ab33f6ebf7e3","abstract_canon_sha256":"a142d37097ad7f232ed4c314e8190d7ffa072746df5f54193b22458bb8b266af"},"schema_version":"1.0"},"canonical_sha256":"7dfcc4e2248bf7d445d7a147a45eb809e5417769e740e21f59a23da7d84adc00","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:08:07.047764Z","signature_b64":"k6TamXsHlNaCe/rW5Ngb7k7fit1XM68QWNVywVzK20S5JVl3HmqKSZe7qo0wd7O2MiGRSkYNAlzMRZq3hRJuAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7dfcc4e2248bf7d445d7a147a45eb809e5417769e740e21f59a23da7d84adc00","last_reissued_at":"2026-07-05T03:08:07.047344Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:08:07.047344Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.15595","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":"2026-07-05T03:08:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WFEbaXgZPNmUPY5YxSvhUVjc+6FKcyufeCfuFlfMWGqtJMyu2MPflltXomg7Qlk+zZhGxOkIVAeTt3eSK7BsCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T09:25:53.222481Z"},"content_sha256":"101a1ccb992185ff585268012336bb13b8f01baaae01b40d2a127e4dcb8346a9","schema_version":"1.0","event_id":"sha256:101a1ccb992185ff585268012336bb13b8f01baaae01b40d2a127e4dcb8346a9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:PX6MJYRERP35IROXUFD2IXVYBH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anpei Chen, Fanbo Xiang, Fuqiang Zhao, Hao Su, Jingyi Yu, Xiaoshuai Zhang, Zexiang Xu","submitted_at":"2021-03-29T13:15:23Z","abstract_excerpt":"We present MVSNeRF, a novel neural rendering approach that can efficiently reconstruct neural radiance fields for view synthesis. Unlike prior works on neural radiance fields that consider per-scene optimization on densely captured images, we propose a generic deep neural network that can reconstruct radiance fields from only three nearby input views via fast network inference. Our approach leverages plane-swept cost volumes (widely used in multi-view stereo) for geometry-aware scene reasoning, and combines this with physically based volume rendering for neural radiance field reconstruction. W"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.15595","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/2103.15595/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":"2026-07-05T03:08:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F3FPz2W6W29AS8rj4XXKDcCmSeEm1IjrFRA8AvcS0ohX8nKkXidlNrYHPeid8+xR4C2WhOzHCVaTJuSiTx4QDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T09:25:53.222846Z"},"content_sha256":"dfa081db6ac3cc401158d1499d9a5bbe6d31bf3f963ae34242627fccf77a2ac5","schema_version":"1.0","event_id":"sha256:dfa081db6ac3cc401158d1499d9a5bbe6d31bf3f963ae34242627fccf77a2ac5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PX6MJYRERP35IROXUFD2IXVYBH/bundle.json","state_url":"https://pith.science/pith/PX6MJYRERP35IROXUFD2IXVYBH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PX6MJYRERP35IROXUFD2IXVYBH/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":"2026-07-05T09:25:53Z","links":{"resolver":"https://pith.science/pith/PX6MJYRERP35IROXUFD2IXVYBH","bundle":"https://pith.science/pith/PX6MJYRERP35IROXUFD2IXVYBH/bundle.json","state":"https://pith.science/pith/PX6MJYRERP35IROXUFD2IXVYBH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PX6MJYRERP35IROXUFD2IXVYBH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:PX6MJYRERP35IROXUFD2IXVYBH","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":"a142d37097ad7f232ed4c314e8190d7ffa072746df5f54193b22458bb8b266af","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T13:15:23Z","title_canon_sha256":"97a69104d60f166cd72b0b3c7ec1fd988f6254f110738eb80296ab33f6ebf7e3"},"schema_version":"1.0","source":{"id":"2103.15595","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.15595","created_at":"2026-07-05T03:08:07Z"},{"alias_kind":"arxiv_version","alias_value":"2103.15595v2","created_at":"2026-07-05T03:08:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.15595","created_at":"2026-07-05T03:08:07Z"},{"alias_kind":"pith_short_12","alias_value":"PX6MJYRERP35","created_at":"2026-07-05T03:08:07Z"},{"alias_kind":"pith_short_16","alias_value":"PX6MJYRERP35IROX","created_at":"2026-07-05T03:08:07Z"},{"alias_kind":"pith_short_8","alias_value":"PX6MJYRE","created_at":"2026-07-05T03:08:07Z"}],"graph_snapshots":[{"event_id":"sha256:dfa081db6ac3cc401158d1499d9a5bbe6d31bf3f963ae34242627fccf77a2ac5","target":"graph","created_at":"2026-07-05T03:08:07Z","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/2103.15595/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present MVSNeRF, a novel neural rendering approach that can efficiently reconstruct neural radiance fields for view synthesis. Unlike prior works on neural radiance fields that consider per-scene optimization on densely captured images, we propose a generic deep neural network that can reconstruct radiance fields from only three nearby input views via fast network inference. Our approach leverages plane-swept cost volumes (widely used in multi-view stereo) for geometry-aware scene reasoning, and combines this with physically based volume rendering for neural radiance field reconstruction. W","authors_text":"Anpei Chen, Fanbo Xiang, Fuqiang Zhao, Hao Su, Jingyi Yu, Xiaoshuai Zhang, Zexiang Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T13:15:23Z","title":"MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.15595","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":"sha256:101a1ccb992185ff585268012336bb13b8f01baaae01b40d2a127e4dcb8346a9","target":"record","created_at":"2026-07-05T03:08:07Z","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":"a142d37097ad7f232ed4c314e8190d7ffa072746df5f54193b22458bb8b266af","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-03-29T13:15:23Z","title_canon_sha256":"97a69104d60f166cd72b0b3c7ec1fd988f6254f110738eb80296ab33f6ebf7e3"},"schema_version":"1.0","source":{"id":"2103.15595","kind":"arxiv","version":2}},"canonical_sha256":"7dfcc4e2248bf7d445d7a147a45eb809e5417769e740e21f59a23da7d84adc00","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7dfcc4e2248bf7d445d7a147a45eb809e5417769e740e21f59a23da7d84adc00","first_computed_at":"2026-07-05T03:08:07.047344Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:08:07.047344Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"k6TamXsHlNaCe/rW5Ngb7k7fit1XM68QWNVywVzK20S5JVl3HmqKSZe7qo0wd7O2MiGRSkYNAlzMRZq3hRJuAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:08:07.047764Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.15595","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:101a1ccb992185ff585268012336bb13b8f01baaae01b40d2a127e4dcb8346a9","sha256:dfa081db6ac3cc401158d1499d9a5bbe6d31bf3f963ae34242627fccf77a2ac5"],"state_sha256":"1da0d265a8ff3a63e1cc272f1831a9c0336cdbc97cca5b6532475990a18eb2f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XbyBsgRxvGfpuOlEM+c3NqenRooBtcI8zx3b6YaM6V9TGxPeMgf4iaaQarp6DzAUDxVkcNH/Bni6BJDtl/yACQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T09:25:53.225020Z","bundle_sha256":"01cb40e28c41aa436e3c67594d08b1683f72a8fb7a58f88ec6c3442ffc16d7e6"}}