{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GCNBBVCQJT43ZYNC2BTCHV4QR4","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":"dfe23d0af55b74295ad3f2240380829e466277087553260fa7d82eb504065c30","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2024-06-04T01:06:41Z","title_canon_sha256":"ff47012e1ad467bb320fb4a6f57e0d7a82ffd2d5d1a6896e38f0d6504ad46af1"},"schema_version":"1.0","source":{"id":"2406.16907","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.16907","created_at":"2026-07-05T08:36:06Z"},{"alias_kind":"arxiv_version","alias_value":"2406.16907v1","created_at":"2026-07-05T08:36:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.16907","created_at":"2026-07-05T08:36:06Z"},{"alias_kind":"pith_short_12","alias_value":"GCNBBVCQJT43","created_at":"2026-07-05T08:36:06Z"},{"alias_kind":"pith_short_16","alias_value":"GCNBBVCQJT43ZYNC","created_at":"2026-07-05T08:36:06Z"},{"alias_kind":"pith_short_8","alias_value":"GCNBBVCQ","created_at":"2026-07-05T08:36:06Z"}],"graph_snapshots":[{"event_id":"sha256:d35e1c25ab3d62657158da146d9ac1923a4292b3b9eda0cf708bfae0ae87a940","target":"graph","created_at":"2026-07-05T08:36:06Z","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/2406.16907/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The radio wave propagation channel is central to the performance of wireless communication systems. In this paper, we introduce a novel machine learning-empowered methodology for wireless channel modeling. The key ingredients include a point-cloud-based neural network and a Spherical Harmonics encoder with light probes. Our approach offers several significant advantages, including the flexibility to adjust antenna radiation patterns and transmitter/receiver locations, the capability to predict radio power maps, and the scalability of large-scale wireless scenes. As a result, it lays the ground","authors_text":"Ge Cao, Zhen Peng","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2024-06-04T01:06:41Z","title":"RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.16907","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:bb0b4f8cde8506977241a48cb11752314c8dd9c6a9171a0ed4ff1d16d65967bd","target":"record","created_at":"2026-07-05T08:36:06Z","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":"dfe23d0af55b74295ad3f2240380829e466277087553260fa7d82eb504065c30","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2024-06-04T01:06:41Z","title_canon_sha256":"ff47012e1ad467bb320fb4a6f57e0d7a82ffd2d5d1a6896e38f0d6504ad46af1"},"schema_version":"1.0","source":{"id":"2406.16907","kind":"arxiv","version":1}},"canonical_sha256":"309a10d4504cf9bce1a2d06623d7908f37cd504950580112a5a1ed10a62e8483","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"309a10d4504cf9bce1a2d06623d7908f37cd504950580112a5a1ed10a62e8483","first_computed_at":"2026-07-05T08:36:06.936441Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:36:06.936441Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YwqVff5TAssLmWx1TzRLdzYhrKb7a0h5rLyQYJz2XrcG8MSVZ8nlPy1e5rVoFM+EN4ev6bAlaifPYS9OAoWpBg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:36:06.936908Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.16907","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb0b4f8cde8506977241a48cb11752314c8dd9c6a9171a0ed4ff1d16d65967bd","sha256:d35e1c25ab3d62657158da146d9ac1923a4292b3b9eda0cf708bfae0ae87a940"],"state_sha256":"127d910643b658072faefb3be36ed68a8676685b8f8b4dc77999025759fa5aaf"}