{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DDY2VDZROTIJ6H6B43J7W73BEZ","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":"a52d8056b08f808339da1401deead4f5d80efb37030151a9d62c7058cf1fcc8c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-01-31T11:24:53Z","title_canon_sha256":"f4ee8b8f174ce3134bdd13a3ade274a3e0041ec1c477ab9cae884c3c4a4f1abe"},"schema_version":"1.0","source":{"id":"2602.00664","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.00664","created_at":"2026-07-17T01:20:44Z"},{"alias_kind":"arxiv_version","alias_value":"2602.00664v2","created_at":"2026-07-17T01:20:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.00664","created_at":"2026-07-17T01:20:44Z"},{"alias_kind":"pith_short_12","alias_value":"DDY2VDZROTIJ","created_at":"2026-07-17T01:20:44Z"},{"alias_kind":"pith_short_16","alias_value":"DDY2VDZROTIJ6H6B","created_at":"2026-07-17T01:20:44Z"},{"alias_kind":"pith_short_8","alias_value":"DDY2VDZR","created_at":"2026-07-17T01:20:44Z"}],"graph_snapshots":[{"event_id":"sha256:70941bcc12491d82700b57f10cd3a3d4b0d4bc6c77bf4fb78ccfbb7c1c407de4","target":"graph","created_at":"2026-07-17T01:20:44Z","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/2602.00664/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-precision three-dimensional (3D) positioning in dense urban non-line-of-sight (NLOS) environments benefits significantly from cooperation among multiple distributed base stations (BSs). However, forwarding raw CSI from multiple BSs to a central unit (CU) incurs prohibitive fronthaul overhead, which limits scalable cooperative positioning in practice. This paper proposes a learning-based edge-cloud cooperative positioning framework under limited-capacity fronthaul constraints. In the proposed architecture, a neural network is deployed at each BS to compress the locally estimated CSI into a","authors_text":"Bin Zheng, George K. Karagiannidis, Hongsheng Chen, Jiayang Shi, Jiwei Zhao, Kai Yu, Maged Elkashlan, Tong An","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-01-31T11:24:53Z","title":"Fronthaul-Efficient Distributed Cooperative 3D Positioning with Quantized Latent CSI Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.00664","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":"sha256:558378bb412117bb5a37f4334ac34904ee248286ea69cf3587693829691ea697","target":"record","created_at":"2026-07-17T01:20:44Z","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":"a52d8056b08f808339da1401deead4f5d80efb37030151a9d62c7058cf1fcc8c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-01-31T11:24:53Z","title_canon_sha256":"f4ee8b8f174ce3134bdd13a3ade274a3e0041ec1c477ab9cae884c3c4a4f1abe"},"schema_version":"1.0","source":{"id":"2602.00664","kind":"arxiv","version":2}},"canonical_sha256":"18f1aa8f3174d09f1fc1e6d3fb7f612673e762c476c1e1911b8d63aecf5b81e3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"18f1aa8f3174d09f1fc1e6d3fb7f612673e762c476c1e1911b8d63aecf5b81e3","first_computed_at":"2026-07-17T01:20:44.170375Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-17T01:20:44.170375Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XQ3wN4WuAi+NEaIG0bWu9uI/wrFOCbL4EnPAI6vFxL2DvnDYlpA4Q+vKjzZNjcAJGpBI/UzEHpAf6MmwPjT/CQ==","signature_status":"signed_v1","signed_at":"2026-07-17T01:20:44.171298Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.00664","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:558378bb412117bb5a37f4334ac34904ee248286ea69cf3587693829691ea697","sha256:70941bcc12491d82700b57f10cd3a3d4b0d4bc6c77bf4fb78ccfbb7c1c407de4"],"state_sha256":"9f55a20970caf87dc7101e3e8b36e9a23cf58bba8ba359f79dc28bc16ac9b9c1"}