{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:ERUV7RAFHSM5HTW3R4ARIZPMS4","short_pith_number":"pith:ERUV7RAF","canonical_record":{"source":{"id":"2505.07747","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-12T16:56:30Z","cross_cats_sorted":[],"title_canon_sha256":"8c90d42b585166f0e7538aa56a1827e4ef395fd29b3f6641e85893b9905389e3","abstract_canon_sha256":"48675adfbc7cac28975e076e9803a2d30085df1d4bcceb67dbe1827ae29569fa"},"schema_version":"1.0"},"canonical_sha256":"24695fc4053c99d3cedb8f011465ec9712518b764f62fb0f10221447f91e1277","source":{"kind":"arxiv","id":"2505.07747","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07747","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07747v1","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07747","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"pith_short_12","alias_value":"ERUV7RAFHSM5","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"pith_short_16","alias_value":"ERUV7RAFHSM5HTW3","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"pith_short_8","alias_value":"ERUV7RAF","created_at":"2026-07-05T11:01:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:ERUV7RAFHSM5HTW3R4ARIZPMS4","target":"record","payload":{"canonical_record":{"source":{"id":"2505.07747","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-12T16:56:30Z","cross_cats_sorted":[],"title_canon_sha256":"8c90d42b585166f0e7538aa56a1827e4ef395fd29b3f6641e85893b9905389e3","abstract_canon_sha256":"48675adfbc7cac28975e076e9803a2d30085df1d4bcceb67dbe1827ae29569fa"},"schema_version":"1.0"},"canonical_sha256":"24695fc4053c99d3cedb8f011465ec9712518b764f62fb0f10221447f91e1277","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:01:52.715297Z","signature_b64":"4XKj8caoHvJq1ZaWo2ZDZIVKbzms0GRpZfctjOIuieSWoNFN1WBvTNRPcikvbyk2ltAAfmYbhFkxiO18Wy4tCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"24695fc4053c99d3cedb8f011465ec9712518b764f62fb0f10221447f91e1277","last_reissued_at":"2026-07-05T11:01:52.714789Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:01:52.714789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.07747","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:01:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p2YMKf7IVa4NwOOykHxzeGaBsG9j91a721+wGkaPhw7H4AfzXFTUIV6iZBJhCh0FlG9YVm0LpZXl/PtF198FCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T06:48:18.051800Z"},"content_sha256":"7496d980898fb995e850224f934c0abd9ffc74c7230be26637e4828a83ea4eaf","schema_version":"1.0","event_id":"sha256:7496d980898fb995e850224f934c0abd9ffc74c7230be26637e4828a83ea4eaf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:ERUV7RAFHSM5HTW3R4ARIZPMS4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Daxin Jiang, Di Qi, Feipeng Tian, Gang Yu, Hao Li, Jianxiong Pan, Jiarui Liu, Ping Tan, Shihao Wu, Wei Cheng, Weiwei Cai, Weiyu Li, Xiangyu Zhang, Xiao Chen, Xuanyang Zhang, Zeming Li, Zheng Sun, Zihao Wang","submitted_at":"2025-05-12T16:56:30Z","abstract_excerpt":"While generative artificial intelligence has advanced significantly across text, image, audio, and video domains, 3D generation remains comparatively underdeveloped due to fundamental challenges such as data scarcity, algorithmic limitations, and ecosystem fragmentation. To this end, we present Step1X-3D, an open framework addressing these challenges through: (1) a rigorous data curation pipeline processing >5M assets to create a 2M high-quality dataset with standardized geometric and textural properties; (2) a two-stage 3D-native architecture combining a hybrid VAE-DiT geometry generator with"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07747","kind":"arxiv","version":1},"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/2505.07747/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":"2026-07-05T11:01:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I1r6HFyc3I44PGKo1IFgzId0Fm9Mu9EDa+mP9FLlSmhE8BNfRwfBW7GCdTKjLKMtSkq3RqpqOgO7xWCdxBooBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-12T06:48:18.052173Z"},"content_sha256":"67a50b4ded3a6d729f5b4f5bb4fd3341d423e9eec6ead4e8da7e0578645394a7","schema_version":"1.0","event_id":"sha256:67a50b4ded3a6d729f5b4f5bb4fd3341d423e9eec6ead4e8da7e0578645394a7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ERUV7RAFHSM5HTW3R4ARIZPMS4/bundle.json","state_url":"https://pith.science/pith/ERUV7RAFHSM5HTW3R4ARIZPMS4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ERUV7RAFHSM5HTW3R4ARIZPMS4/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":"2026-07-12T06:48:18Z","links":{"resolver":"https://pith.science/pith/ERUV7RAFHSM5HTW3R4ARIZPMS4","bundle":"https://pith.science/pith/ERUV7RAFHSM5HTW3R4ARIZPMS4/bundle.json","state":"https://pith.science/pith/ERUV7RAFHSM5HTW3R4ARIZPMS4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ERUV7RAFHSM5HTW3R4ARIZPMS4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:ERUV7RAFHSM5HTW3R4ARIZPMS4","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":"48675adfbc7cac28975e076e9803a2d30085df1d4bcceb67dbe1827ae29569fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-12T16:56:30Z","title_canon_sha256":"8c90d42b585166f0e7538aa56a1827e4ef395fd29b3f6641e85893b9905389e3"},"schema_version":"1.0","source":{"id":"2505.07747","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.07747","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"arxiv_version","alias_value":"2505.07747v1","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.07747","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"pith_short_12","alias_value":"ERUV7RAFHSM5","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"pith_short_16","alias_value":"ERUV7RAFHSM5HTW3","created_at":"2026-07-05T11:01:52Z"},{"alias_kind":"pith_short_8","alias_value":"ERUV7RAF","created_at":"2026-07-05T11:01:52Z"}],"graph_snapshots":[{"event_id":"sha256:67a50b4ded3a6d729f5b4f5bb4fd3341d423e9eec6ead4e8da7e0578645394a7","target":"graph","created_at":"2026-07-05T11:01:52Z","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/2505.07747/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While generative artificial intelligence has advanced significantly across text, image, audio, and video domains, 3D generation remains comparatively underdeveloped due to fundamental challenges such as data scarcity, algorithmic limitations, and ecosystem fragmentation. To this end, we present Step1X-3D, an open framework addressing these challenges through: (1) a rigorous data curation pipeline processing >5M assets to create a 2M high-quality dataset with standardized geometric and textural properties; (2) a two-stage 3D-native architecture combining a hybrid VAE-DiT geometry generator with","authors_text":"Daxin Jiang, Di Qi, Feipeng Tian, Gang Yu, Hao Li, Jianxiong Pan, Jiarui Liu, Ping Tan, Shihao Wu, Wei Cheng, Weiwei Cai, Weiyu Li, Xiangyu Zhang, Xiao Chen, Xuanyang Zhang, Zeming Li, Zheng Sun, Zihao Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-12T16:56:30Z","title":"Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.07747","kind":"arxiv","version":1},"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":"sha256:7496d980898fb995e850224f934c0abd9ffc74c7230be26637e4828a83ea4eaf","target":"record","created_at":"2026-07-05T11:01:52Z","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":"48675adfbc7cac28975e076e9803a2d30085df1d4bcceb67dbe1827ae29569fa","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-12T16:56:30Z","title_canon_sha256":"8c90d42b585166f0e7538aa56a1827e4ef395fd29b3f6641e85893b9905389e3"},"schema_version":"1.0","source":{"id":"2505.07747","kind":"arxiv","version":1}},"canonical_sha256":"24695fc4053c99d3cedb8f011465ec9712518b764f62fb0f10221447f91e1277","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24695fc4053c99d3cedb8f011465ec9712518b764f62fb0f10221447f91e1277","first_computed_at":"2026-07-05T11:01:52.714789Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:01:52.714789Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4XKj8caoHvJq1ZaWo2ZDZIVKbzms0GRpZfctjOIuieSWoNFN1WBvTNRPcikvbyk2ltAAfmYbhFkxiO18Wy4tCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:01:52.715297Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.07747","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7496d980898fb995e850224f934c0abd9ffc74c7230be26637e4828a83ea4eaf","sha256:67a50b4ded3a6d729f5b4f5bb4fd3341d423e9eec6ead4e8da7e0578645394a7"],"state_sha256":"5610aab27968249e9547fa236d9463352ec85e98024b6655cde7ec0534a091ff"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zDFJsJdArF+zkDYeDhu2QfI1ZUdr8RnZ8ToGmouAMFRrgOTelytyCoiCj0olF5temfe/V1Ths+s4Tj5pew5VBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-12T06:48:18.054258Z","bundle_sha256":"893479a61344d43d21ba8fc7980d82f92e6e16c2e190a45bb4ca8140ab933664"}}