{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:MNZZ5HBHD2P77S4CPW4WHJALVQ","short_pith_number":"pith:MNZZ5HBH","canonical_record":{"source":{"id":"2504.08541","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.GR","submitted_at":"2025-04-11T13:54:19Z","cross_cats_sorted":["cs.AI","cs.CV","cs.RO"],"title_canon_sha256":"fcfbfe5fc37413853668bbf1ba20db98d9d17172949704c2438461e5482cff55","abstract_canon_sha256":"693176f4c5d2183e4bc50ac0a0120dc4a6db6b1ca389d8518c3ace1504ab75a3"},"schema_version":"1.0"},"canonical_sha256":"63739e9c271e9fffcb827db963a40bac3f5befd6f4f68dfefb2e5adfae63e6ff","source":{"kind":"arxiv","id":"2504.08541","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.08541","created_at":"2026-07-05T11:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2504.08541v2","created_at":"2026-07-05T11:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.08541","created_at":"2026-07-05T11:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"MNZZ5HBHD2P7","created_at":"2026-07-05T11:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"MNZZ5HBHD2P77S4C","created_at":"2026-07-05T11:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"MNZZ5HBH","created_at":"2026-07-05T11:04:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:MNZZ5HBHD2P77S4CPW4WHJALVQ","target":"record","payload":{"canonical_record":{"source":{"id":"2504.08541","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.GR","submitted_at":"2025-04-11T13:54:19Z","cross_cats_sorted":["cs.AI","cs.CV","cs.RO"],"title_canon_sha256":"fcfbfe5fc37413853668bbf1ba20db98d9d17172949704c2438461e5482cff55","abstract_canon_sha256":"693176f4c5d2183e4bc50ac0a0120dc4a6db6b1ca389d8518c3ace1504ab75a3"},"schema_version":"1.0"},"canonical_sha256":"63739e9c271e9fffcb827db963a40bac3f5befd6f4f68dfefb2e5adfae63e6ff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:04:48.858384Z","signature_b64":"4bzPOkRD4Ofij9vhOm7zyNzBYg5hQh7SEDusfW0dSfPrAlRHGN18wlEGEWPjLT6GwFiTM8tSpWswSDL4+fIvCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"63739e9c271e9fffcb827db963a40bac3f5befd6f4f68dfefb2e5adfae63e6ff","last_reissued_at":"2026-07-05T11:04:48.857849Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:04:48.857849Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.08541","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":"2026-07-05T11:04:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JSVOLW5FY3KF+qLGbhW77/tMF0l5GHQSouEhFNCHhpBQiQc1XxF4HxP+SiVQsSRcd00DnLJwaMXMqpdn/fI4Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:30:56.077010Z"},"content_sha256":"4c74e9f46e2a036d4e826e9b36765d90e215c241d638dc2e30e06c3a1de8bc67","schema_version":"1.0","event_id":"sha256:4c74e9f46e2a036d4e826e9b36765d90e215c241d638dc2e30e06c3a1de8bc67"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:MNZZ5HBHD2P77S4CPW4WHJALVQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.CV","cs.RO"],"primary_cat":"cs.GR","authors_text":"Carl Yuheng Ren, Cheng Zhang, Geordie Moffatt, Hong-Xing Yu, James Fort, Jiajun Wu, Ka Chen, Mingfei Yan, Richard Newcombe, Sean Christofferson, Stephen Tian, Xiaqing Pan, Yufeng Zhu, Yunzhi Zhang, Zhao Dong, Zhaoyang Lv, Zhengqin Li","submitted_at":"2025-04-11T13:54:19Z","abstract_excerpt":"We introduce the Digital Twin Catalog (DTC), a new large-scale photorealistic 3D object digital twin dataset. A digital twin of a 3D object is a highly detailed, virtually indistinguishable representation of a physical object, accurately capturing its shape, appearance, physical properties, and other attributes. Recent advances in neural-based 3D reconstruction and inverse rendering have significantly improved the quality of 3D object reconstruction. Despite these advancements, there remains a lack of a large-scale, digital twin-quality real-world dataset and benchmark that can quantitatively "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.08541","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/2504.08541/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":"2026-07-05T11:04:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iv3P6aK8JHfbTl0wp4rXbKeOJ/lbjS6CVubinYVEYkKbJ2U3QurR5dh0slVYmW0Ty4n6RQ0n5LOlqGIIbMsDAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T23:30:56.077530Z"},"content_sha256":"52720f4045daff13dd8ae487946cacdec6bcd99f9be6367de3eba3bdd9a86bb9","schema_version":"1.0","event_id":"sha256:52720f4045daff13dd8ae487946cacdec6bcd99f9be6367de3eba3bdd9a86bb9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MNZZ5HBHD2P77S4CPW4WHJALVQ/bundle.json","state_url":"https://pith.science/pith/MNZZ5HBHD2P77S4CPW4WHJALVQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MNZZ5HBHD2P77S4CPW4WHJALVQ/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":"2026-08-07T23:30:56Z","links":{"resolver":"https://pith.science/pith/MNZZ5HBHD2P77S4CPW4WHJALVQ","bundle":"https://pith.science/pith/MNZZ5HBHD2P77S4CPW4WHJALVQ/bundle.json","state":"https://pith.science/pith/MNZZ5HBHD2P77S4CPW4WHJALVQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MNZZ5HBHD2P77S4CPW4WHJALVQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:MNZZ5HBHD2P77S4CPW4WHJALVQ","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":"693176f4c5d2183e4bc50ac0a0120dc4a6db6b1ca389d8518c3ace1504ab75a3","cross_cats_sorted":["cs.AI","cs.CV","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.GR","submitted_at":"2025-04-11T13:54:19Z","title_canon_sha256":"fcfbfe5fc37413853668bbf1ba20db98d9d17172949704c2438461e5482cff55"},"schema_version":"1.0","source":{"id":"2504.08541","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.08541","created_at":"2026-07-05T11:04:48Z"},{"alias_kind":"arxiv_version","alias_value":"2504.08541v2","created_at":"2026-07-05T11:04:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.08541","created_at":"2026-07-05T11:04:48Z"},{"alias_kind":"pith_short_12","alias_value":"MNZZ5HBHD2P7","created_at":"2026-07-05T11:04:48Z"},{"alias_kind":"pith_short_16","alias_value":"MNZZ5HBHD2P77S4C","created_at":"2026-07-05T11:04:48Z"},{"alias_kind":"pith_short_8","alias_value":"MNZZ5HBH","created_at":"2026-07-05T11:04:48Z"}],"graph_snapshots":[{"event_id":"sha256:52720f4045daff13dd8ae487946cacdec6bcd99f9be6367de3eba3bdd9a86bb9","target":"graph","created_at":"2026-07-05T11:04:48Z","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/2504.08541/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce the Digital Twin Catalog (DTC), a new large-scale photorealistic 3D object digital twin dataset. A digital twin of a 3D object is a highly detailed, virtually indistinguishable representation of a physical object, accurately capturing its shape, appearance, physical properties, and other attributes. Recent advances in neural-based 3D reconstruction and inverse rendering have significantly improved the quality of 3D object reconstruction. Despite these advancements, there remains a lack of a large-scale, digital twin-quality real-world dataset and benchmark that can quantitatively ","authors_text":"Carl Yuheng Ren, Cheng Zhang, Geordie Moffatt, Hong-Xing Yu, James Fort, Jiajun Wu, Ka Chen, Mingfei Yan, Richard Newcombe, Sean Christofferson, Stephen Tian, Xiaqing Pan, Yufeng Zhu, Yunzhi Zhang, Zhao Dong, Zhaoyang Lv, Zhengqin Li","cross_cats":["cs.AI","cs.CV","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.GR","submitted_at":"2025-04-11T13:54:19Z","title":"Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.08541","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":"sha256:4c74e9f46e2a036d4e826e9b36765d90e215c241d638dc2e30e06c3a1de8bc67","target":"record","created_at":"2026-07-05T11:04:48Z","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":"693176f4c5d2183e4bc50ac0a0120dc4a6db6b1ca389d8518c3ace1504ab75a3","cross_cats_sorted":["cs.AI","cs.CV","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.GR","submitted_at":"2025-04-11T13:54:19Z","title_canon_sha256":"fcfbfe5fc37413853668bbf1ba20db98d9d17172949704c2438461e5482cff55"},"schema_version":"1.0","source":{"id":"2504.08541","kind":"arxiv","version":2}},"canonical_sha256":"63739e9c271e9fffcb827db963a40bac3f5befd6f4f68dfefb2e5adfae63e6ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"63739e9c271e9fffcb827db963a40bac3f5befd6f4f68dfefb2e5adfae63e6ff","first_computed_at":"2026-07-05T11:04:48.857849Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:04:48.857849Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4bzPOkRD4Ofij9vhOm7zyNzBYg5hQh7SEDusfW0dSfPrAlRHGN18wlEGEWPjLT6GwFiTM8tSpWswSDL4+fIvCg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:04:48.858384Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.08541","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c74e9f46e2a036d4e826e9b36765d90e215c241d638dc2e30e06c3a1de8bc67","sha256:52720f4045daff13dd8ae487946cacdec6bcd99f9be6367de3eba3bdd9a86bb9"],"state_sha256":"8335cec66538aa4f4ac9738bc7db072761e5a43f19d830d4f0ccfeb309942b35"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vKdv2Vc0hp51N+9DJmJ0wdrRdoiCP3iAwXRO//6Cl4B9cU3vbPj9CXvY6mUgNvyszOl892+YC4QfrDDVLCm6CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T23:30:56.082650Z","bundle_sha256":"ec9db46a0904390e97a4fff0481200da62c84bb732921f31cecff005b6bf808d"}}