{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2AYMVRNWBOQYNOPODQHDDVE7OD","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":"73cdcabb2df029fb3872a0ca8d0c260fd46760ca4a05fb7d0c6c1e05c9343598","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2024-04-23T09:35:03Z","title_canon_sha256":"c3c7d3da57a4a75354c631e763219cfb4416746e40406e6f61f1181a84e5a224"},"schema_version":"1.0","source":{"id":"2404.14862","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.14862","created_at":"2026-07-05T08:11:11Z"},{"alias_kind":"arxiv_version","alias_value":"2404.14862v1","created_at":"2026-07-05T08:11:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.14862","created_at":"2026-07-05T08:11:11Z"},{"alias_kind":"pith_short_12","alias_value":"2AYMVRNWBOQY","created_at":"2026-07-05T08:11:11Z"},{"alias_kind":"pith_short_16","alias_value":"2AYMVRNWBOQYNOPO","created_at":"2026-07-05T08:11:11Z"},{"alias_kind":"pith_short_8","alias_value":"2AYMVRNW","created_at":"2026-07-05T08:11:11Z"}],"graph_snapshots":[{"event_id":"sha256:228f246902a6ad1abc97525673657b380cbc5542253daa788812e9714a5110ba","target":"graph","created_at":"2026-07-05T08:11:11Z","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/2404.14862/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Utilizing widely distributed communication nodes to achieve environmental reconstruction is one of the significant scenarios for Integrated Sensing and Communication (ISAC) and a crucial technology for 6G. To achieve this crucial functionality, we propose a deep learning based multi-node ISAC 4D environment reconstruction method with Uplink-Downlink (UL-DL) cooperation, which employs virtual aperture technology, Constant False Alarm Rate (CFAR) detection, and Mutiple Signal Classification (MUSIC) algorithm to maximize the sensing capabilities of single sensing nodes. Simultaneously, it introdu","authors_text":"Bohao Lu, Dongyang Mei, Huici Wu, Lin Wang, Xi Lu, Xinrui Zeng, Zhiqing Wei, Zhiyong Feng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2024-04-23T09:35:03Z","title":"Deep Learning Based Multi-Node ISAC 4D Environmental Reconstruction with Uplink- Downlink Cooperation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.14862","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":"sha256:00a2666c532dc9d4d893222b6d08e188d0b52bf31c7e0def0ccf3e07dbdc2d4a","target":"record","created_at":"2026-07-05T08:11:11Z","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":"73cdcabb2df029fb3872a0ca8d0c260fd46760ca4a05fb7d0c6c1e05c9343598","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2024-04-23T09:35:03Z","title_canon_sha256":"c3c7d3da57a4a75354c631e763219cfb4416746e40406e6f61f1181a84e5a224"},"schema_version":"1.0","source":{"id":"2404.14862","kind":"arxiv","version":1}},"canonical_sha256":"d030cac5b60ba186b9ee1c0e31d49f70cf1ee6ab1617d30fc178967a666fecfe","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d030cac5b60ba186b9ee1c0e31d49f70cf1ee6ab1617d30fc178967a666fecfe","first_computed_at":"2026-07-05T08:11:11.260688Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:11:11.260688Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UINgpVuwdL1q7+1izT+XeqkD73vLb+rHv3wmVOv14ZMklhgX8HlxCVEUiH394cWPbY4Dg8pvJqvDf349x3bXCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:11:11.261082Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.14862","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:00a2666c532dc9d4d893222b6d08e188d0b52bf31c7e0def0ccf3e07dbdc2d4a","sha256:228f246902a6ad1abc97525673657b380cbc5542253daa788812e9714a5110ba"],"state_sha256":"5fa31ca4a47210f5619832f1d2aacfa6e9518f08319d087fc58eb431fb20a94a"}