{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2SCC76VPRCDRTKNKL7YNUBTNA7","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":"fe2ddb9b3c9d12f72e906dfb041f487e1c989d0c78e1e00398635876ad531afd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T09:30:39Z","title_canon_sha256":"4ceb77cd73fe8a6ba240006e1f35e09bf03f6c3b3b30ed4d76dd480c24d315f7"},"schema_version":"1.0","source":{"id":"2508.03252","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.03252","created_at":"2026-07-05T12:00:07Z"},{"alias_kind":"arxiv_version","alias_value":"2508.03252v2","created_at":"2026-07-05T12:00:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.03252","created_at":"2026-07-05T12:00:07Z"},{"alias_kind":"pith_short_12","alias_value":"2SCC76VPRCDR","created_at":"2026-07-05T12:00:07Z"},{"alias_kind":"pith_short_16","alias_value":"2SCC76VPRCDRTKNK","created_at":"2026-07-05T12:00:07Z"},{"alias_kind":"pith_short_8","alias_value":"2SCC76VP","created_at":"2026-07-05T12:00:07Z"}],"graph_snapshots":[{"event_id":"sha256:d31a0523f12f182b2b1771ce39f0187caaddf97d29a2ee2c9a2c8b608867ba16","target":"graph","created_at":"2026-07-05T12:00:07Z","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/2508.03252/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Denoising Diffusion Probabilistic Models (DDPMs) have shown success in robust 3D object detection tasks. Existing methods often rely on the score matching from 3D boxes or pre-trained diffusion priors. However, they typically require multi-step iterations in inference, which limits efficiency. To address this, we propose a Robust single-stage fully Sparse 3D object Detection Network with a Detachable Latent Framework (DLF) of DDPMs, named RSDNet. Specifically, RSDNet learns the denoising process in latent feature spaces through lightweight denoising networks like multi-level denoising autoenco","authors_text":"Guofeng Mei, Jing Wang, Liang Xiao, Wentao Qu, Xiaoshui Huang, Yujiao Wu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T09:30:39Z","title":"Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.03252","kind":"arxiv","version":2},"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":"sha256:7e9e0e932e93281733502246305dc893ca7d7237c19c974859f3942876866582","target":"record","created_at":"2026-07-05T12:00:07Z","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":"fe2ddb9b3c9d12f72e906dfb041f487e1c989d0c78e1e00398635876ad531afd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-05T09:30:39Z","title_canon_sha256":"4ceb77cd73fe8a6ba240006e1f35e09bf03f6c3b3b30ed4d76dd480c24d315f7"},"schema_version":"1.0","source":{"id":"2508.03252","kind":"arxiv","version":2}},"canonical_sha256":"d4842ffaaf888719a9aa5ff0da066d07d381ade04260e84c07bc397ee7114083","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d4842ffaaf888719a9aa5ff0da066d07d381ade04260e84c07bc397ee7114083","first_computed_at":"2026-07-05T12:00:07.374986Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:07.374986Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PQVSeqP8J1t9oXjuk6ee/oF6bRJ2otCbTE4hJNcerp42YWz3xWbmET820+BHeKeS92q22a8q+DGfqhQmorvvCw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:07.375544Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.03252","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e9e0e932e93281733502246305dc893ca7d7237c19c974859f3942876866582","sha256:d31a0523f12f182b2b1771ce39f0187caaddf97d29a2ee2c9a2c8b608867ba16"],"state_sha256":"a84c801a42fb750cfd1872563e0762a800973432443b38519c635b00d4facf00"}