{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:IUOW7EDGLG6XWVZODFTEWQO2ME","short_pith_number":"pith:IUOW7EDG","canonical_record":{"source":{"id":"1908.00222","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-01T06:01:19Z","cross_cats_sorted":[],"title_canon_sha256":"5ed6f1d682e77e5a9747b7719b3041b53bccd97f69b23782606b11347aa86618","abstract_canon_sha256":"eab536558c6ee5e886d4a4e8fd7c73baf63d8b1c451ec1212cda66553bc2ff00"},"schema_version":"1.0"},"canonical_sha256":"451d6f906659bd7b572e19664b41da610af1d2df8a144a81ade71c0dca3651a9","source":{"kind":"arxiv","id":"1908.00222","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.00222","created_at":"2026-07-05T01:19:49Z"},{"alias_kind":"arxiv_version","alias_value":"1908.00222v3","created_at":"2026-07-05T01:19:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.00222","created_at":"2026-07-05T01:19:49Z"},{"alias_kind":"pith_short_12","alias_value":"IUOW7EDGLG6X","created_at":"2026-07-05T01:19:49Z"},{"alias_kind":"pith_short_16","alias_value":"IUOW7EDGLG6XWVZO","created_at":"2026-07-05T01:19:49Z"},{"alias_kind":"pith_short_8","alias_value":"IUOW7EDG","created_at":"2026-07-05T01:19:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:IUOW7EDGLG6XWVZODFTEWQO2ME","target":"record","payload":{"canonical_record":{"source":{"id":"1908.00222","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-01T06:01:19Z","cross_cats_sorted":[],"title_canon_sha256":"5ed6f1d682e77e5a9747b7719b3041b53bccd97f69b23782606b11347aa86618","abstract_canon_sha256":"eab536558c6ee5e886d4a4e8fd7c73baf63d8b1c451ec1212cda66553bc2ff00"},"schema_version":"1.0"},"canonical_sha256":"451d6f906659bd7b572e19664b41da610af1d2df8a144a81ade71c0dca3651a9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:19:49.937403Z","signature_b64":"D9fXwx3/jvYdKbxB3a3ymR60LLwgaFaUjR6LJORvgSX57QtDHvlb/V94xjc+8Q9zO8JwfLyt5D4ynUIbI4KpBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"451d6f906659bd7b572e19664b41da610af1d2df8a144a81ade71c0dca3651a9","last_reissued_at":"2026-07-05T01:19:49.936942Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:19:49.936942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.00222","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:19:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7XuByYHbh+rw0EDf4I+6rCkLwErWSuzdNljDcP+KqpCsutg37eEPmx06GM6S1cSu4UHNDHLibh2adQgE81PlDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T21:22:53.318572Z"},"content_sha256":"89ffce4b221ed6ada44b4402743a5525ff77ddca383db17d1729834e7b112979","schema_version":"1.0","event_id":"sha256:89ffce4b221ed6ada44b4402743a5525ff77ddca383db17d1729834e7b112979"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:IUOW7EDGLG6XWVZODFTEWQO2ME","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jia Zheng, Jing Li, Junfei Zhang, Rui Tang, Shenghua Gao, Zihan Zhou","submitted_at":"2019-08-01T06:01:19Z","abstract_excerpt":"Recently, there has been growing interest in developing learning-based methods to detect and utilize salient semi-global or global structures, such as junctions, lines, planes, cuboids, smooth surfaces, and all types of symmetries, for 3D scene modeling and understanding. However, the ground truth annotations are often obtained via human labor, which is particularly challenging and inefficient for such tasks due to the large number of 3D structure instances (e.g., line segments) and other factors such as viewpoints and occlusions. In this paper, we present a new synthetic dataset, Structured3D"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.00222","kind":"arxiv","version":3},"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/1908.00222/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":"2026-07-05T01:19:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sZXPiYKNJKNxZ7FzmiQJlMKycXDvJyLjYwBbcjfEVMQ7TEk1zWyXcry9EA9xTEBneLHLJSnv17uqvxSllFz2Bw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T21:22:53.319506Z"},"content_sha256":"1295049074f01a14d0beab025d1065b1f372a55b254fa3dd3e88d73ede331afc","schema_version":"1.0","event_id":"sha256:1295049074f01a14d0beab025d1065b1f372a55b254fa3dd3e88d73ede331afc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IUOW7EDGLG6XWVZODFTEWQO2ME/bundle.json","state_url":"https://pith.science/pith/IUOW7EDGLG6XWVZODFTEWQO2ME/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IUOW7EDGLG6XWVZODFTEWQO2ME/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":"2026-08-16T21:22:53Z","links":{"resolver":"https://pith.science/pith/IUOW7EDGLG6XWVZODFTEWQO2ME","bundle":"https://pith.science/pith/IUOW7EDGLG6XWVZODFTEWQO2ME/bundle.json","state":"https://pith.science/pith/IUOW7EDGLG6XWVZODFTEWQO2ME/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IUOW7EDGLG6XWVZODFTEWQO2ME/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:IUOW7EDGLG6XWVZODFTEWQO2ME","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":"eab536558c6ee5e886d4a4e8fd7c73baf63d8b1c451ec1212cda66553bc2ff00","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-01T06:01:19Z","title_canon_sha256":"5ed6f1d682e77e5a9747b7719b3041b53bccd97f69b23782606b11347aa86618"},"schema_version":"1.0","source":{"id":"1908.00222","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.00222","created_at":"2026-07-05T01:19:49Z"},{"alias_kind":"arxiv_version","alias_value":"1908.00222v3","created_at":"2026-07-05T01:19:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.00222","created_at":"2026-07-05T01:19:49Z"},{"alias_kind":"pith_short_12","alias_value":"IUOW7EDGLG6X","created_at":"2026-07-05T01:19:49Z"},{"alias_kind":"pith_short_16","alias_value":"IUOW7EDGLG6XWVZO","created_at":"2026-07-05T01:19:49Z"},{"alias_kind":"pith_short_8","alias_value":"IUOW7EDG","created_at":"2026-07-05T01:19:49Z"}],"graph_snapshots":[{"event_id":"sha256:1295049074f01a14d0beab025d1065b1f372a55b254fa3dd3e88d73ede331afc","target":"graph","created_at":"2026-07-05T01:19:49Z","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/1908.00222/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recently, there has been growing interest in developing learning-based methods to detect and utilize salient semi-global or global structures, such as junctions, lines, planes, cuboids, smooth surfaces, and all types of symmetries, for 3D scene modeling and understanding. However, the ground truth annotations are often obtained via human labor, which is particularly challenging and inefficient for such tasks due to the large number of 3D structure instances (e.g., line segments) and other factors such as viewpoints and occlusions. In this paper, we present a new synthetic dataset, Structured3D","authors_text":"Jia Zheng, Jing Li, Junfei Zhang, Rui Tang, Shenghua Gao, Zihan Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-01T06:01:19Z","title":"Structured3D: A Large Photo-realistic Dataset for Structured 3D Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.00222","kind":"arxiv","version":3},"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":"sha256:89ffce4b221ed6ada44b4402743a5525ff77ddca383db17d1729834e7b112979","target":"record","created_at":"2026-07-05T01:19:49Z","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":"eab536558c6ee5e886d4a4e8fd7c73baf63d8b1c451ec1212cda66553bc2ff00","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-01T06:01:19Z","title_canon_sha256":"5ed6f1d682e77e5a9747b7719b3041b53bccd97f69b23782606b11347aa86618"},"schema_version":"1.0","source":{"id":"1908.00222","kind":"arxiv","version":3}},"canonical_sha256":"451d6f906659bd7b572e19664b41da610af1d2df8a144a81ade71c0dca3651a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"451d6f906659bd7b572e19664b41da610af1d2df8a144a81ade71c0dca3651a9","first_computed_at":"2026-07-05T01:19:49.936942Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:19:49.936942Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D9fXwx3/jvYdKbxB3a3ymR60LLwgaFaUjR6LJORvgSX57QtDHvlb/V94xjc+8Q9zO8JwfLyt5D4ynUIbI4KpBg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:19:49.937403Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.00222","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:89ffce4b221ed6ada44b4402743a5525ff77ddca383db17d1729834e7b112979","sha256:1295049074f01a14d0beab025d1065b1f372a55b254fa3dd3e88d73ede331afc"],"state_sha256":"fc5efa1d80fa29418c31d5df825b615bae6563b3b82961ce1f93a6433f034c74"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v4+woYgkuOKGB5BCU51Lx48QwkCvaZgNteb7BHujSVkuiFzWclxmmSTfNm1frhx3tZwCdezV3c8149Ck0veoCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T21:22:53.325844Z","bundle_sha256":"6302680bda8ea1be466635956238292cd0fc63ff0a8c642708ca477b5e4a6a9c"}}