{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:Q2DAUMOF7VE6MORBJ3HSF3IDE5","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":"2b47d709eb7ae9b11bf2afc038405448f110f573a7ce606354e45ed238632abc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T06:33:55Z","title_canon_sha256":"6a4922af6acc3b3c3e647836b4a580e039993be359acfc58f39a258c52f8bb5a"},"schema_version":"1.0","source":{"id":"2606.31204","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.31204","created_at":"2026-07-01T01:17:55Z"},{"alias_kind":"arxiv_version","alias_value":"2606.31204v1","created_at":"2026-07-01T01:17:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.31204","created_at":"2026-07-01T01:17:55Z"},{"alias_kind":"pith_short_12","alias_value":"Q2DAUMOF7VE6","created_at":"2026-07-01T01:17:55Z"},{"alias_kind":"pith_short_16","alias_value":"Q2DAUMOF7VE6MORB","created_at":"2026-07-01T01:17:55Z"},{"alias_kind":"pith_short_8","alias_value":"Q2DAUMOF","created_at":"2026-07-01T01:17:55Z"}],"graph_snapshots":[{"event_id":"sha256:3a80e277aaaa3ed6f9a38fa5e7191815a30683978b068d93d4624a23eae54e8c","target":"graph","created_at":"2026-07-01T01:17:55Z","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/2606.31204/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Synthetic data generation has emerged as a powerful tool for improving data scalability in computer vision. Recent diffusion-based pipelines have demonstrated strong photorealism. However, how to enforce precise 3D structure and pose consistency in generated images remains challenging. Existing methods leverage visual prompts such as edge maps to guide diffusion models, but often suffer from over-conditioning artifacts that degrade image realism and limit dataset quality. In this paper, we present a diffusion-based image generation framework that enforces 3D structural alignment while preservi","authors_text":"Eric Ji, Minh N. Do, Qiran Hu, Sarthak Jain, Wufei Ma, Yaoyao Liu, Yingying Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T06:33:55Z","title":"AC3S: Adaptive Conditioning for 3D-Aware Synthetic Data Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.31204","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:b72a672a8346bc48c4b2684114a02b3f56896507e46797e1f18808583a4f14f5","target":"record","created_at":"2026-07-01T01:17:55Z","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":"2b47d709eb7ae9b11bf2afc038405448f110f573a7ce606354e45ed238632abc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-30T06:33:55Z","title_canon_sha256":"6a4922af6acc3b3c3e647836b4a580e039993be359acfc58f39a258c52f8bb5a"},"schema_version":"1.0","source":{"id":"2606.31204","kind":"arxiv","version":1}},"canonical_sha256":"86860a31c5fd49e63a214ecf22ed032767629e47bbd6e18c90e1a1852ef46e39","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"86860a31c5fd49e63a214ecf22ed032767629e47bbd6e18c90e1a1852ef46e39","first_computed_at":"2026-07-01T01:17:55.550193Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T01:17:55.550193Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ex0aQwPIvi9AXpE4N4hHjtfs0sU8emA3DStvxpoKp9Q/heCkxWERwQYAuoX10PJedxojn0XLURXrUUtaFmsCDw==","signature_status":"signed_v1","signed_at":"2026-07-01T01:17:55.550628Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.31204","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b72a672a8346bc48c4b2684114a02b3f56896507e46797e1f18808583a4f14f5","sha256:3a80e277aaaa3ed6f9a38fa5e7191815a30683978b068d93d4624a23eae54e8c"],"state_sha256":"24c0219c3ccd8621361f46b889e53d9f6f4d77b10ccb0a2a13c359194801a46b"}