{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:UKKPVCZPTBNYIZAUZMFMW4D4SA","short_pith_number":"pith:UKKPVCZP","schema_version":"1.0","canonical_sha256":"a294fa8b2f985b846414cb0acb707c9033d575cd85a73d914b42109f01e586f5","source":{"kind":"arxiv","id":"2606.08402","version":1},"attestation_state":"computed","paper":{"title":"SceneConductor: 3D Scene Generation from Single Image with Multi-Agent Orchestration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.MA"],"primary_cat":"cs.CV","authors_text":"Chuanyu Pan, Hieu Trung Nguyen, Jeonghwan Kim, Xingang Pan, Yongwei Chen, Yushi Lan","submitted_at":"2026-06-07T01:38:39Z","abstract_excerpt":"Generating complete 3D scenes from a single image requires inferring globally consistent geometry, object relationships, and environmental context from inherently ambiguous visual evidence. Despite recent progress in joint layout-and-mesh generation, existing methods often rely on holistic or weakly decomposed pipelines that entangle many factors at once and demand extensive scene-level supervision, limiting their generalization to complex real-world environments. We propose a multi-agent orchestration framework that decomposes single-image 3D scene generation into three structured stages: sce"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.08402","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-07T01:38:39Z","cross_cats_sorted":["cs.AI","cs.MA"],"title_canon_sha256":"25b111f3a6f628b939441a5e21203c2e35224ecbfb2bb0c52cac1f26a47a61ce","abstract_canon_sha256":"b799e51cda53a00e29dc15e00359bd200470d2bd744b3897d8826dc4a2f2422c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:05:35.716755Z","signature_b64":"C6Jg2LrkiH+bVqoNcue+jHmvRsU7khVUihnhuy4AkSuTTxe4hPmOfwqd6sPvIKFzOK3ZB2pQSRXk1bgVPQyxBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a294fa8b2f985b846414cb0acb707c9033d575cd85a73d914b42109f01e586f5","last_reissued_at":"2026-06-09T01:05:35.716351Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:05:35.716351Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SceneConductor: 3D Scene Generation from Single Image with Multi-Agent Orchestration","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.MA"],"primary_cat":"cs.CV","authors_text":"Chuanyu Pan, Hieu Trung Nguyen, Jeonghwan Kim, Xingang Pan, Yongwei Chen, Yushi Lan","submitted_at":"2026-06-07T01:38:39Z","abstract_excerpt":"Generating complete 3D scenes from a single image requires inferring globally consistent geometry, object relationships, and environmental context from inherently ambiguous visual evidence. Despite recent progress in joint layout-and-mesh generation, existing methods often rely on holistic or weakly decomposed pipelines that entangle many factors at once and demand extensive scene-level supervision, limiting their generalization to complex real-world environments. We propose a multi-agent orchestration framework that decomposes single-image 3D scene generation into three structured stages: sce"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.08402","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/2606.08402/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.08402","created_at":"2026-06-09T01:05:35.716411+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.08402v1","created_at":"2026-06-09T01:05:35.716411+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.08402","created_at":"2026-06-09T01:05:35.716411+00:00"},{"alias_kind":"pith_short_12","alias_value":"UKKPVCZPTBNY","created_at":"2026-06-09T01:05:35.716411+00:00"},{"alias_kind":"pith_short_16","alias_value":"UKKPVCZPTBNYIZAU","created_at":"2026-06-09T01:05:35.716411+00:00"},{"alias_kind":"pith_short_8","alias_value":"UKKPVCZP","created_at":"2026-06-09T01:05:35.716411+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/UKKPVCZPTBNYIZAUZMFMW4D4SA","json":"https://pith.science/pith/UKKPVCZPTBNYIZAUZMFMW4D4SA.json","graph_json":"https://pith.science/api/pith-number/UKKPVCZPTBNYIZAUZMFMW4D4SA/graph.json","events_json":"https://pith.science/api/pith-number/UKKPVCZPTBNYIZAUZMFMW4D4SA/events.json","paper":"https://pith.science/paper/UKKPVCZP"},"agent_actions":{"view_html":"https://pith.science/pith/UKKPVCZPTBNYIZAUZMFMW4D4SA","download_json":"https://pith.science/pith/UKKPVCZPTBNYIZAUZMFMW4D4SA.json","view_paper":"https://pith.science/paper/UKKPVCZP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.08402&json=true","fetch_graph":"https://pith.science/api/pith-number/UKKPVCZPTBNYIZAUZMFMW4D4SA/graph.json","fetch_events":"https://pith.science/api/pith-number/UKKPVCZPTBNYIZAUZMFMW4D4SA/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UKKPVCZPTBNYIZAUZMFMW4D4SA/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UKKPVCZPTBNYIZAUZMFMW4D4SA/action/storage_attestation","attest_author":"https://pith.science/pith/UKKPVCZPTBNYIZAUZMFMW4D4SA/action/author_attestation","sign_citation":"https://pith.science/pith/UKKPVCZPTBNYIZAUZMFMW4D4SA/action/citation_signature","submit_replication":"https://pith.science/pith/UKKPVCZPTBNYIZAUZMFMW4D4SA/action/replication_record"}},"created_at":"2026-06-09T01:05:35.716411+00:00","updated_at":"2026-06-09T01:05:35.716411+00:00"}