{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:G6DD4UCEJC6XKTMXANEGUCA677","short_pith_number":"pith:G6DD4UCE","canonical_record":{"source":{"id":"2206.07255","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-15T02:35:51Z","cross_cats_sorted":[],"title_canon_sha256":"9166cb815c141ebfa5188c84fc4106a48c4349b093f7162028e49ad151809a8c","abstract_canon_sha256":"75bb61cdfe68c168953cd34c32adea2153e0f16c3b3cd7ae1b976ede6a5d5a12"},"schema_version":"1.0"},"canonical_sha256":"37863e504448bd754d9703486a081efff346d47bf21d26d4ddb114004e398d37","source":{"kind":"arxiv","id":"2206.07255","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.07255","created_at":"2026-07-05T06:59:27Z"},{"alias_kind":"arxiv_version","alias_value":"2206.07255v2","created_at":"2026-07-05T06:59:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.07255","created_at":"2026-07-05T06:59:27Z"},{"alias_kind":"pith_short_12","alias_value":"G6DD4UCEJC6X","created_at":"2026-07-05T06:59:27Z"},{"alias_kind":"pith_short_16","alias_value":"G6DD4UCEJC6XKTMX","created_at":"2026-07-05T06:59:27Z"},{"alias_kind":"pith_short_8","alias_value":"G6DD4UCE","created_at":"2026-07-05T06:59:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:G6DD4UCEJC6XKTMXANEGUCA677","target":"record","payload":{"canonical_record":{"source":{"id":"2206.07255","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-15T02:35:51Z","cross_cats_sorted":[],"title_canon_sha256":"9166cb815c141ebfa5188c84fc4106a48c4349b093f7162028e49ad151809a8c","abstract_canon_sha256":"75bb61cdfe68c168953cd34c32adea2153e0f16c3b3cd7ae1b976ede6a5d5a12"},"schema_version":"1.0"},"canonical_sha256":"37863e504448bd754d9703486a081efff346d47bf21d26d4ddb114004e398d37","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:59:27.295406Z","signature_b64":"H2M9Z0o1FQnVbgl8kRdb1p3tZbU7WgCMyr7nfL1QMg+kXCl+vUEGUVlYt0k62U5QpAgQK8rDPLhjhxZ/hEKACw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"37863e504448bd754d9703486a081efff346d47bf21d26d4ddb114004e398d37","last_reissued_at":"2026-07-05T06:59:27.294877Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:59:27.294877Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2206.07255","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":"2026-07-05T06:59:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fJZ6Wo1usbo2mdikY714Vfgcz/TC3I21MgLyvEu5mE8P5Pgj1V/SJHHTphvIhpmVE0cZBI5LVjODiNQv8oF2DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:12:19.748060Z"},"content_sha256":"bdd9b2b198a87618e680888126282fb41beb97b5ad139309769dd1208c8e617d","schema_version":"1.0","event_id":"sha256:bdd9b2b198a87618e680888126282fb41beb97b5ad139309769dd1208c8e617d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:G6DD4UCEJC6XKTMXANEGUCA677","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jianfeng Xiang, Jiaolong Yang, Xin Tong, Yu Deng","submitted_at":"2022-06-15T02:35:51Z","abstract_excerpt":"Recent works have shown that 3D-aware GANs trained on unstructured single image collections can generate multiview images of novel instances. The key underpinnings to achieve this are a 3D radiance field generator and a volume rendering process. However, existing methods either cannot generate high-resolution images (e.g., up to 256X256) due to the high computation cost of neural volume rendering, or rely on 2D CNNs for image-space upsampling which jeopardizes the 3D consistency across different views. This paper proposes a novel 3D-aware GAN that can generate high resolution images (up to 102"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.07255","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/2206.07255/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":"2026-07-05T06:59:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"maiR3DKk+MOJ79ouoiLPs0d+N6mJM/qXHTng4P8XoZY+WphDzKeicbUWIycy4l64YD3IJJG/6C6qJDbwJzYCAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T17:12:19.748539Z"},"content_sha256":"f0467c6a0997d05b6128ee73a98cbfe8ad7f13f9f6b6177c855de0d2c36870a7","schema_version":"1.0","event_id":"sha256:f0467c6a0997d05b6128ee73a98cbfe8ad7f13f9f6b6177c855de0d2c36870a7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/G6DD4UCEJC6XKTMXANEGUCA677/bundle.json","state_url":"https://pith.science/pith/G6DD4UCEJC6XKTMXANEGUCA677/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/G6DD4UCEJC6XKTMXANEGUCA677/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":"2026-08-06T17:12:19Z","links":{"resolver":"https://pith.science/pith/G6DD4UCEJC6XKTMXANEGUCA677","bundle":"https://pith.science/pith/G6DD4UCEJC6XKTMXANEGUCA677/bundle.json","state":"https://pith.science/pith/G6DD4UCEJC6XKTMXANEGUCA677/state.json","well_known_bundle":"https://pith.science/.well-known/pith/G6DD4UCEJC6XKTMXANEGUCA677/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:G6DD4UCEJC6XKTMXANEGUCA677","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":"75bb61cdfe68c168953cd34c32adea2153e0f16c3b3cd7ae1b976ede6a5d5a12","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-15T02:35:51Z","title_canon_sha256":"9166cb815c141ebfa5188c84fc4106a48c4349b093f7162028e49ad151809a8c"},"schema_version":"1.0","source":{"id":"2206.07255","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2206.07255","created_at":"2026-07-05T06:59:27Z"},{"alias_kind":"arxiv_version","alias_value":"2206.07255v2","created_at":"2026-07-05T06:59:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.07255","created_at":"2026-07-05T06:59:27Z"},{"alias_kind":"pith_short_12","alias_value":"G6DD4UCEJC6X","created_at":"2026-07-05T06:59:27Z"},{"alias_kind":"pith_short_16","alias_value":"G6DD4UCEJC6XKTMX","created_at":"2026-07-05T06:59:27Z"},{"alias_kind":"pith_short_8","alias_value":"G6DD4UCE","created_at":"2026-07-05T06:59:27Z"}],"graph_snapshots":[{"event_id":"sha256:f0467c6a0997d05b6128ee73a98cbfe8ad7f13f9f6b6177c855de0d2c36870a7","target":"graph","created_at":"2026-07-05T06:59:27Z","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/2206.07255/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent works have shown that 3D-aware GANs trained on unstructured single image collections can generate multiview images of novel instances. The key underpinnings to achieve this are a 3D radiance field generator and a volume rendering process. However, existing methods either cannot generate high-resolution images (e.g., up to 256X256) due to the high computation cost of neural volume rendering, or rely on 2D CNNs for image-space upsampling which jeopardizes the 3D consistency across different views. This paper proposes a novel 3D-aware GAN that can generate high resolution images (up to 102","authors_text":"Jianfeng Xiang, Jiaolong Yang, Xin Tong, Yu Deng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-15T02:35:51Z","title":"GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.07255","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:bdd9b2b198a87618e680888126282fb41beb97b5ad139309769dd1208c8e617d","target":"record","created_at":"2026-07-05T06:59:27Z","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":"75bb61cdfe68c168953cd34c32adea2153e0f16c3b3cd7ae1b976ede6a5d5a12","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-06-15T02:35:51Z","title_canon_sha256":"9166cb815c141ebfa5188c84fc4106a48c4349b093f7162028e49ad151809a8c"},"schema_version":"1.0","source":{"id":"2206.07255","kind":"arxiv","version":2}},"canonical_sha256":"37863e504448bd754d9703486a081efff346d47bf21d26d4ddb114004e398d37","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"37863e504448bd754d9703486a081efff346d47bf21d26d4ddb114004e398d37","first_computed_at":"2026-07-05T06:59:27.294877Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:59:27.294877Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"H2M9Z0o1FQnVbgl8kRdb1p3tZbU7WgCMyr7nfL1QMg+kXCl+vUEGUVlYt0k62U5QpAgQK8rDPLhjhxZ/hEKACw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:59:27.295406Z","signed_message":"canonical_sha256_bytes"},"source_id":"2206.07255","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bdd9b2b198a87618e680888126282fb41beb97b5ad139309769dd1208c8e617d","sha256:f0467c6a0997d05b6128ee73a98cbfe8ad7f13f9f6b6177c855de0d2c36870a7"],"state_sha256":"46007a215fd8ea3979a8a01981552d84fa110bb3b73ce44079eff9c714284954"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rUbNsiJmetbf6QolSz5FXS60HHpirXBABqIu1aoYF6KmrkrZCXOML6OSgC8OPXYhtkHig1b7/V9TBXO/SbfnDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T17:12:19.752025Z","bundle_sha256":"53565a7b34fd8d51e6970824a8cd261b585bd3881189a222a42ffce4997c84bc"}}