{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EE4LJDO4AQO6OKDO77RDI2FK6Y","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":"5ef9a63e6b9c2064dee6d3ddaae289cc8850cab2507c52a3cf9dbfd6e31fc0df","cross_cats_sorted":["cs.AI","cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T11:56:04Z","title_canon_sha256":"72dd3c2000d61774291862f6f64555c8f8e5e9384472ba2b8444b7d0855254f4"},"schema_version":"1.0","source":{"id":"2606.20764","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20764","created_at":"2026-06-23T00:11:56Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20764v1","created_at":"2026-06-23T00:11:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20764","created_at":"2026-06-23T00:11:56Z"},{"alias_kind":"pith_short_12","alias_value":"EE4LJDO4AQO6","created_at":"2026-06-23T00:11:56Z"},{"alias_kind":"pith_short_16","alias_value":"EE4LJDO4AQO6OKDO","created_at":"2026-06-23T00:11:56Z"},{"alias_kind":"pith_short_8","alias_value":"EE4LJDO4","created_at":"2026-06-23T00:11:56Z"}],"graph_snapshots":[{"event_id":"sha256:01c32d0f55b8e9391cedd7e59fd1793f5d12ac14fd9ead1cc5be51997210e5e2","target":"graph","created_at":"2026-06-23T00:11:56Z","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/2606.20764/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Reliable spatial decision automation, such as autonomous driving and maritime surveillance, critically depends on robust visual perception. However, real-world spatiotemporal data exhibits severe heterogeneity, often manifesting as extreme long-tail distributions for safety-critical scenarios. This data scarcity induces dataset shift that degrades detection performance and pose safety risks. While synthetic data generation offers a potential solution, existing generative approaches, such as diffusion models and Generative Adversarial Networks (GANs), often lack explicit spatial grounding and s","authors_text":"Keqin Zeng, Rui Zhao, Shihao Lin, Shuting Su, Ziyue Li","cross_cats":["cs.AI","cs.GR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T11:56:04Z","title":"One Image is All You Need: Agentic One-Shot Image Generation via Text-Based World Models for Long-Tail Spatial Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20764","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":"sha256:71208bde91187c3626e50aaa0f8766a3dcaad32117c4a56e875734b28d4fb2f5","target":"record","created_at":"2026-06-23T00:11:56Z","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":"5ef9a63e6b9c2064dee6d3ddaae289cc8850cab2507c52a3cf9dbfd6e31fc0df","cross_cats_sorted":["cs.AI","cs.GR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T11:56:04Z","title_canon_sha256":"72dd3c2000d61774291862f6f64555c8f8e5e9384472ba2b8444b7d0855254f4"},"schema_version":"1.0","source":{"id":"2606.20764","kind":"arxiv","version":1}},"canonical_sha256":"2138b48ddc041de7286effe23468aaf6248f674058cc60c12e66118fe9083847","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2138b48ddc041de7286effe23468aaf6248f674058cc60c12e66118fe9083847","first_computed_at":"2026-06-23T00:11:56.110514Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T00:11:56.110514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1QGPwRmQt7L5CoL8UoTthhW/3BH4fATvB0qAvmtlymk+lDLrEbliePmi0GqYjSsEGFfbc5rlxRAF4IHVbJ9VDg==","signature_status":"signed_v1","signed_at":"2026-06-23T00:11:56.110907Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20764","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71208bde91187c3626e50aaa0f8766a3dcaad32117c4a56e875734b28d4fb2f5","sha256:01c32d0f55b8e9391cedd7e59fd1793f5d12ac14fd9ead1cc5be51997210e5e2"],"state_sha256":"235a5144e492c4f3f7058a525377ebb3311d404eb1e941c5355b5f79cf5e201a"}