{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PYE5PQSFSZGPAEKK6E7SAVDTSO","short_pith_number":"pith:PYE5PQSF","canonical_record":{"source":{"id":"2606.07117","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T10:13:17Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"329b95f3b0e1c671b815cc5ba0404d6e3a842d72a61a42f7d659228f95947973","abstract_canon_sha256":"46270989caa13396289fc2fd71eccbc42ade783ee9701b2f285d9bfbc2547743"},"schema_version":"1.0"},"canonical_sha256":"7e09d7c245964cf0114af13f205473939c453cf8e76a8cdace9d9d977416e488","source":{"kind":"arxiv","id":"2606.07117","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07117","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07117v1","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07117","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"pith_short_12","alias_value":"PYE5PQSFSZGP","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"pith_short_16","alias_value":"PYE5PQSFSZGPAEKK","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"pith_short_8","alias_value":"PYE5PQSF","created_at":"2026-06-08T01:04:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PYE5PQSFSZGPAEKK6E7SAVDTSO","target":"record","payload":{"canonical_record":{"source":{"id":"2606.07117","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T10:13:17Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"329b95f3b0e1c671b815cc5ba0404d6e3a842d72a61a42f7d659228f95947973","abstract_canon_sha256":"46270989caa13396289fc2fd71eccbc42ade783ee9701b2f285d9bfbc2547743"},"schema_version":"1.0"},"canonical_sha256":"7e09d7c245964cf0114af13f205473939c453cf8e76a8cdace9d9d977416e488","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:04:47.300535Z","signature_b64":"yo2o055w+JiH9YHfbaApgFJInnI4QscgHjqiWSDHscFAJ+PQz+ncrHQTbJ6EcnkurisyAhx/1NJ4bcL0j3j0Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e09d7c245964cf0114af13f205473939c453cf8e76a8cdace9d9d977416e488","last_reissued_at":"2026-06-08T01:04:47.299602Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:04:47.299602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.07117","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":"2026-06-08T01:04:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XsK6+4i9IhfJPNHLo/PWPJd9zHIvujuHOTy0A8KvD5zFS+2gBWOdfVHwU3ld6ZsVaqiHXNNz/jLVZ+O8zAqhAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T08:56:53.618361Z"},"content_sha256":"f3061a7ce24ebac4a54f27b972bb3aa7d38e033e005264168809b7ccdb994f9a","schema_version":"1.0","event_id":"sha256:f3061a7ce24ebac4a54f27b972bb3aa7d38e033e005264168809b7ccdb994f9a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PYE5PQSFSZGPAEKK6E7SAVDTSO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Gan Qi, Haozhou Pang, Lanshan He, Menghao Li, Yibo Liu, Ziwei Zhang","submitted_at":"2026-06-05T10:13:17Z","abstract_excerpt":"This paper presents Native3D, the first end-to-end 3D scene generation framework that completely bypasses 2D intermediate representations. Traditional approaches typically require adapting 3D representations to the 2D domain to leverage pre-trained diffusion models, which inevitably introduces domain adaptation issues including geometric structural distortion and texture detail degradation. To address these limitations, we design a unified mesh-texture joint representation that simultaneously models both geometric structures and texture features through a Transformer-based scene encoder, effec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07117","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/2606.07117/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":"2026-06-08T01:04:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fTDeijXWXXeCcNJdP3tlAGiaJWkiaIDSobi4pB8UYJfl/X463XGZ2BPsCOjHSXKk6k1ARYtm28aOAN/371VxCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T08:56:53.619142Z"},"content_sha256":"b551ca0b02c0332c29ae3e044d094b49fcdbdb60c1ae72b2fd89a6cb1449acc8","schema_version":"1.0","event_id":"sha256:b551ca0b02c0332c29ae3e044d094b49fcdbdb60c1ae72b2fd89a6cb1449acc8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PYE5PQSFSZGPAEKK6E7SAVDTSO/bundle.json","state_url":"https://pith.science/pith/PYE5PQSFSZGPAEKK6E7SAVDTSO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PYE5PQSFSZGPAEKK6E7SAVDTSO/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":"2026-06-09T08:56:53Z","links":{"resolver":"https://pith.science/pith/PYE5PQSFSZGPAEKK6E7SAVDTSO","bundle":"https://pith.science/pith/PYE5PQSFSZGPAEKK6E7SAVDTSO/bundle.json","state":"https://pith.science/pith/PYE5PQSFSZGPAEKK6E7SAVDTSO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PYE5PQSFSZGPAEKK6E7SAVDTSO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PYE5PQSFSZGPAEKK6E7SAVDTSO","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":"46270989caa13396289fc2fd71eccbc42ade783ee9701b2f285d9bfbc2547743","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T10:13:17Z","title_canon_sha256":"329b95f3b0e1c671b815cc5ba0404d6e3a842d72a61a42f7d659228f95947973"},"schema_version":"1.0","source":{"id":"2606.07117","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07117","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07117v1","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07117","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"pith_short_12","alias_value":"PYE5PQSFSZGP","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"pith_short_16","alias_value":"PYE5PQSFSZGPAEKK","created_at":"2026-06-08T01:04:47Z"},{"alias_kind":"pith_short_8","alias_value":"PYE5PQSF","created_at":"2026-06-08T01:04:47Z"}],"graph_snapshots":[{"event_id":"sha256:b551ca0b02c0332c29ae3e044d094b49fcdbdb60c1ae72b2fd89a6cb1449acc8","target":"graph","created_at":"2026-06-08T01:04:47Z","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/2606.07117/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents Native3D, the first end-to-end 3D scene generation framework that completely bypasses 2D intermediate representations. Traditional approaches typically require adapting 3D representations to the 2D domain to leverage pre-trained diffusion models, which inevitably introduces domain adaptation issues including geometric structural distortion and texture detail degradation. To address these limitations, we design a unified mesh-texture joint representation that simultaneously models both geometric structures and texture features through a Transformer-based scene encoder, effec","authors_text":"Gan Qi, Haozhou Pang, Lanshan He, Menghao Li, Yibo Liu, Ziwei Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T10:13:17Z","title":"Native3D: End-to-End 3D Scene Generation via Unified Mesh-Texture Modeling and Semantic Alignment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07117","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:f3061a7ce24ebac4a54f27b972bb3aa7d38e033e005264168809b7ccdb994f9a","target":"record","created_at":"2026-06-08T01:04:47Z","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":"46270989caa13396289fc2fd71eccbc42ade783ee9701b2f285d9bfbc2547743","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-05T10:13:17Z","title_canon_sha256":"329b95f3b0e1c671b815cc5ba0404d6e3a842d72a61a42f7d659228f95947973"},"schema_version":"1.0","source":{"id":"2606.07117","kind":"arxiv","version":1}},"canonical_sha256":"7e09d7c245964cf0114af13f205473939c453cf8e76a8cdace9d9d977416e488","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e09d7c245964cf0114af13f205473939c453cf8e76a8cdace9d9d977416e488","first_computed_at":"2026-06-08T01:04:47.299602Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-08T01:04:47.299602Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yo2o055w+JiH9YHfbaApgFJInnI4QscgHjqiWSDHscFAJ+PQz+ncrHQTbJ6EcnkurisyAhx/1NJ4bcL0j3j0Dg==","signature_status":"signed_v1","signed_at":"2026-06-08T01:04:47.300535Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.07117","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3061a7ce24ebac4a54f27b972bb3aa7d38e033e005264168809b7ccdb994f9a","sha256:b551ca0b02c0332c29ae3e044d094b49fcdbdb60c1ae72b2fd89a6cb1449acc8"],"state_sha256":"42c6d28bca43adc6de6ee160f7d541d34fb12f98453f9c51612ff8395aec1a68"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2E5LllhxlvRE9si++7BWqNWm2nzkusAw3dJ2gnxO8y5BsBzUEiesmUEU4ou31ep4whB6VlEW+/F4pa7OMU2+BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T08:56:53.623867Z","bundle_sha256":"cbb27939ca9ce1fadf073086d1a6be94b016b07744c8a4229e629fbc21906371"}}