{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4AYOHPJY7MKY5T5CGX4LDMISSS","short_pith_number":"pith:4AYOHPJY","canonical_record":{"source":{"id":"2406.06432","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T16:24:07Z","cross_cats_sorted":[],"title_canon_sha256":"65f4f0688d47d73ede32205493cd1f2ddb8c6e4226dc1e7792a69b99a9d0a89c","abstract_canon_sha256":"9e5c963afc81c48f8f1be5efeed499259c8237dbd76b5b90479c7364bc770af1"},"schema_version":"1.0"},"canonical_sha256":"e030e3bd38fb158ecfa235f8b1b11294b4281f799c2ce9d46da89abae734715a","source":{"kind":"arxiv","id":"2406.06432","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06432","created_at":"2026-07-05T08:55:23Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06432v2","created_at":"2026-07-05T08:55:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06432","created_at":"2026-07-05T08:55:23Z"},{"alias_kind":"pith_short_12","alias_value":"4AYOHPJY7MKY","created_at":"2026-07-05T08:55:23Z"},{"alias_kind":"pith_short_16","alias_value":"4AYOHPJY7MKY5T5C","created_at":"2026-07-05T08:55:23Z"},{"alias_kind":"pith_short_8","alias_value":"4AYOHPJY","created_at":"2026-07-05T08:55:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4AYOHPJY7MKY5T5CGX4LDMISSS","target":"record","payload":{"canonical_record":{"source":{"id":"2406.06432","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T16:24:07Z","cross_cats_sorted":[],"title_canon_sha256":"65f4f0688d47d73ede32205493cd1f2ddb8c6e4226dc1e7792a69b99a9d0a89c","abstract_canon_sha256":"9e5c963afc81c48f8f1be5efeed499259c8237dbd76b5b90479c7364bc770af1"},"schema_version":"1.0"},"canonical_sha256":"e030e3bd38fb158ecfa235f8b1b11294b4281f799c2ce9d46da89abae734715a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:55:23.043663Z","signature_b64":"kOTIdxi3wyhCc8bEvT4WFebwVktBMvYboK86ih3Fkyr0nmFH5cBLSUzlLSdSd+kexooiyOYMbeE0xZ+hoViWBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e030e3bd38fb158ecfa235f8b1b11294b4281f799c2ce9d46da89abae734715a","last_reissued_at":"2026-07-05T08:55:23.043243Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:55:23.043243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.06432","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":"2026-07-05T08:55:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Nu6bI6olTVHmZ6SandgdytszN6JAKV0o2BdGDb0K7HT5g0fjyBKDYbPLDWFBImXRLdZMy/6mLlQiWhMxlj59Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:30:24.759275Z"},"content_sha256":"c43446f15a6848ba7ab64cbd3937d3ba98a71acdbffe38f3f8c3622a98d97188","schema_version":"1.0","event_id":"sha256:c43446f15a6848ba7ab64cbd3937d3ba98a71acdbffe38f3f8c3622a98d97188"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4AYOHPJY7MKY5T5CGX4LDMISSS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cengiz Oztireli, Fangcheng Zhong, Jing Yang, Kyle Fogarty","submitted_at":"2024-06-10T16:24:07Z","abstract_excerpt":"Despite the growing success of 3D-aware GANs, which can be trained on 2D images to generate high-quality 3D assets, they still rely on multi-view images with camera annotations to synthesize sufficient details from all viewing directions. However, the scarce availability of calibrated multi-view image datasets, especially in comparison to single-view images, has limited the potential of 3D GANs. Moreover, while bypassing camera pose annotations with a camera distribution constraint reduces dependence on exact camera parameters, it still struggles to generate a consistent orientation of 3D asse"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06432","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/2406.06432/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":"2026-07-05T08:55:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rKlKCvN/wYQbmIIToxwnNM5gAmyWwbrBeDaix4gr+5/nxTFc3xHcCjM0+uF4ecdJh2GD2QSOgfF5YA64jW7gDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:30:24.759917Z"},"content_sha256":"aa2dcd5859d9cb41221203c5bb454299645d55f51515004315eb142784302733","schema_version":"1.0","event_id":"sha256:aa2dcd5859d9cb41221203c5bb454299645d55f51515004315eb142784302733"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4AYOHPJY7MKY5T5CGX4LDMISSS/bundle.json","state_url":"https://pith.science/pith/4AYOHPJY7MKY5T5CGX4LDMISSS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4AYOHPJY7MKY5T5CGX4LDMISSS/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":"2026-08-03T16:30:24Z","links":{"resolver":"https://pith.science/pith/4AYOHPJY7MKY5T5CGX4LDMISSS","bundle":"https://pith.science/pith/4AYOHPJY7MKY5T5CGX4LDMISSS/bundle.json","state":"https://pith.science/pith/4AYOHPJY7MKY5T5CGX4LDMISSS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4AYOHPJY7MKY5T5CGX4LDMISSS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4AYOHPJY7MKY5T5CGX4LDMISSS","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":"9e5c963afc81c48f8f1be5efeed499259c8237dbd76b5b90479c7364bc770af1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T16:24:07Z","title_canon_sha256":"65f4f0688d47d73ede32205493cd1f2ddb8c6e4226dc1e7792a69b99a9d0a89c"},"schema_version":"1.0","source":{"id":"2406.06432","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.06432","created_at":"2026-07-05T08:55:23Z"},{"alias_kind":"arxiv_version","alias_value":"2406.06432v2","created_at":"2026-07-05T08:55:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.06432","created_at":"2026-07-05T08:55:23Z"},{"alias_kind":"pith_short_12","alias_value":"4AYOHPJY7MKY","created_at":"2026-07-05T08:55:23Z"},{"alias_kind":"pith_short_16","alias_value":"4AYOHPJY7MKY5T5C","created_at":"2026-07-05T08:55:23Z"},{"alias_kind":"pith_short_8","alias_value":"4AYOHPJY","created_at":"2026-07-05T08:55:23Z"}],"graph_snapshots":[{"event_id":"sha256:aa2dcd5859d9cb41221203c5bb454299645d55f51515004315eb142784302733","target":"graph","created_at":"2026-07-05T08:55:23Z","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/2406.06432/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the growing success of 3D-aware GANs, which can be trained on 2D images to generate high-quality 3D assets, they still rely on multi-view images with camera annotations to synthesize sufficient details from all viewing directions. However, the scarce availability of calibrated multi-view image datasets, especially in comparison to single-view images, has limited the potential of 3D GANs. Moreover, while bypassing camera pose annotations with a camera distribution constraint reduces dependence on exact camera parameters, it still struggles to generate a consistent orientation of 3D asse","authors_text":"Cengiz Oztireli, Fangcheng Zhong, Jing Yang, Kyle Fogarty","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T16:24:07Z","title":"SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.06432","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:c43446f15a6848ba7ab64cbd3937d3ba98a71acdbffe38f3f8c3622a98d97188","target":"record","created_at":"2026-07-05T08:55:23Z","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":"9e5c963afc81c48f8f1be5efeed499259c8237dbd76b5b90479c7364bc770af1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-10T16:24:07Z","title_canon_sha256":"65f4f0688d47d73ede32205493cd1f2ddb8c6e4226dc1e7792a69b99a9d0a89c"},"schema_version":"1.0","source":{"id":"2406.06432","kind":"arxiv","version":2}},"canonical_sha256":"e030e3bd38fb158ecfa235f8b1b11294b4281f799c2ce9d46da89abae734715a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e030e3bd38fb158ecfa235f8b1b11294b4281f799c2ce9d46da89abae734715a","first_computed_at":"2026-07-05T08:55:23.043243Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:55:23.043243Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kOTIdxi3wyhCc8bEvT4WFebwVktBMvYboK86ih3Fkyr0nmFH5cBLSUzlLSdSd+kexooiyOYMbeE0xZ+hoViWBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:55:23.043663Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.06432","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c43446f15a6848ba7ab64cbd3937d3ba98a71acdbffe38f3f8c3622a98d97188","sha256:aa2dcd5859d9cb41221203c5bb454299645d55f51515004315eb142784302733"],"state_sha256":"408a2bf0b2e728ccbf0b2b8e8f7568cb40612ea3dcf1f8338de62cdd8a5d96ba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CwKuxkuKoLozH/r/urhW6e+yHqSw6hpc5HPLNvkyClesgkYXHTzU/06QgTl9JpDNGHMjhU8Dx8DDSwo5fjanBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:30:24.764707Z","bundle_sha256":"4a9200b87856abe77118b0a3fea37ed8bd5fea315e66f6ae2c8e6dd3d8710779"}}