{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:D4P7JGU3MYZTXQIMWZ63JRTB6K","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"87cfddb82de6bfd03d8f8b0ae25060b1afb0556fdcf66237b7892f958739f6b2","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-07T11:02:55Z","title_canon_sha256":"1e5666c2d566eb110c0b8b02afa56e10c04913352e587d0b82d806b85e0a87d7"},"schema_version":"1.0","source":{"id":"2608.07106","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.07106","created_at":"2026-08-10T01:13:14Z"},{"alias_kind":"arxiv_version","alias_value":"2608.07106v1","created_at":"2026-08-10T01:13:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.07106","created_at":"2026-08-10T01:13:14Z"},{"alias_kind":"pith_short_12","alias_value":"D4P7JGU3MYZT","created_at":"2026-08-10T01:13:14Z"},{"alias_kind":"pith_short_16","alias_value":"D4P7JGU3MYZTXQIM","created_at":"2026-08-10T01:13:14Z"},{"alias_kind":"pith_short_8","alias_value":"D4P7JGU3","created_at":"2026-08-10T01:13:14Z"}],"graph_snapshots":[{"event_id":"sha256:117e2910885ad3742527737c2f9980d96bb573f517a7e6b3821f739d03cc8cdc","target":"graph","created_at":"2026-08-10T01:13:14Z","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/2608.07106/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deploying three-dimensional deep learning frameworks to low-power embedded processors is bottlenecked by the unstructured nature of spatial data and the resource-intensive distance sorting algorithms often used before neural network inference. To address this gap, this paper presents a hardware-constrained workflow optimized for native execution on the Raspberry Pi 5. To account for the reality gap between noiseless, clean computer-aided design (CAD) datasets and real-world sensor data, we use physics-based simulation to construct a synthetic LiDAR dataset. Cross-dataset evaluations demonstrat","authors_text":"Niclas Meyer, Stefan Reitmann","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-07T11:02:55Z","title":"Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.07106","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":"sha256:02f15e458cda13648851f2f92965bf902b8ba23dfb48ae863e4635353b485599","target":"record","created_at":"2026-08-10T01:13:14Z","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":"87cfddb82de6bfd03d8f8b0ae25060b1afb0556fdcf66237b7892f958739f6b2","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-08-07T11:02:55Z","title_canon_sha256":"1e5666c2d566eb110c0b8b02afa56e10c04913352e587d0b82d806b85e0a87d7"},"schema_version":"1.0","source":{"id":"2608.07106","kind":"arxiv","version":1}},"canonical_sha256":"1f1ff49a9b66333bc10cb67db4c661f2be7ecdf70a3eacacc10cf64354c8e8cc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f1ff49a9b66333bc10cb67db4c661f2be7ecdf70a3eacacc10cf64354c8e8cc","first_computed_at":"2026-08-10T01:13:14.113553Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-10T01:13:14.113553Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VXin/9KvuIVLcDfDMb6JBQTvQAhnsMjCvEmuB3vAw92tdELiMpGF+byobdWONyTq3YRrLjaZT3LGo6H4ucIIAw==","signature_status":"signed_v1","signed_at":"2026-08-10T01:13:14.116945Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.07106","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:02f15e458cda13648851f2f92965bf902b8ba23dfb48ae863e4635353b485599","sha256:117e2910885ad3742527737c2f9980d96bb573f517a7e6b3821f739d03cc8cdc","sha256:430c0b720f2e067abe430b6470a3bf6c79bb4f595f9a35caf989f06c5d198187"],"state_sha256":"e5f3570eee40ad118a28f4164dee9bf9c8c1b55a9c92b1a687861606b6e31009"}