{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:Z3LI3HIJ5PXFOBVNCQ2VWOYAHL","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":"890eb07f55b532b75c0985ddc11f6dde59f6067b9cf60f133e94d1a6a9565a83","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-16T07:03:12Z","title_canon_sha256":"16201191e86303b8eaad847f5e15bc0924510c0976274101690d8daed2091a14"},"schema_version":"1.0","source":{"id":"2503.12382","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.12382","created_at":"2026-07-05T10:32:11Z"},{"alias_kind":"arxiv_version","alias_value":"2503.12382v1","created_at":"2026-07-05T10:32:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.12382","created_at":"2026-07-05T10:32:11Z"},{"alias_kind":"pith_short_12","alias_value":"Z3LI3HIJ5PXF","created_at":"2026-07-05T10:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"Z3LI3HIJ5PXFOBVN","created_at":"2026-07-05T10:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"Z3LI3HIJ","created_at":"2026-07-05T10:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:0d3ec4a83efbaabe0822279c5d1d4255a4bf10f3718788f4b59760bd19d2bc9f","target":"graph","created_at":"2026-07-05T10:32:11Z","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/2503.12382/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite the substantial advancements demonstrated by learning-based neural models in the LiDAR Point Cloud Compression (LPCC) task, realizing real-time compression - an indispensable criterion for numerous industrial applications - remains a formidable challenge. This paper proposes RENO, the first real-time neural codec for 3D LiDAR point clouds, achieving superior performance with a lightweight model. RENO skips the octree construction and directly builds upon the multiscale sparse tensor representation. Instead of the multi-stage inferring, RENO devises sparse occupancy codes, which exploit","authors_text":"Dandan Ding, Kang You, M. Salman Asif, Tong Chen, Zhan Ma","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-16T07:03:12Z","title":"RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.12382","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":"sha256:67fefa6fae4fc5a7aa16367c51d15aaa97c57686161b5fddd1037b114f1a7b21","target":"record","created_at":"2026-07-05T10:32:11Z","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":"890eb07f55b532b75c0985ddc11f6dde59f6067b9cf60f133e94d1a6a9565a83","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-16T07:03:12Z","title_canon_sha256":"16201191e86303b8eaad847f5e15bc0924510c0976274101690d8daed2091a14"},"schema_version":"1.0","source":{"id":"2503.12382","kind":"arxiv","version":1}},"canonical_sha256":"ced68d9d09ebee5706ad14355b3b003af864ff46b94affc132cb946c625fb445","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ced68d9d09ebee5706ad14355b3b003af864ff46b94affc132cb946c625fb445","first_computed_at":"2026-07-05T10:32:11.568078Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:32:11.568078Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tMLsZWJD9fzk8vgZ7iJYQxAMkD+/3Bq6yv64pfXTohv7V6n8XszTunxwY6CnsruTp0Q+xmnspbuU2/j+ps+jDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:32:11.571601Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.12382","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:67fefa6fae4fc5a7aa16367c51d15aaa97c57686161b5fddd1037b114f1a7b21","sha256:0d3ec4a83efbaabe0822279c5d1d4255a4bf10f3718788f4b59760bd19d2bc9f"],"state_sha256":"497ae1b627f4e9ea8546fbc0fc836666cb4a6a81b2ca038a37696b9373d6be81"}