{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ZHMGM7CKZSS3FOWLNDWQXRE6BG","short_pith_number":"pith:ZHMGM7CK","schema_version":"1.0","canonical_sha256":"c9d8667c4acca5b2bacb68ed0bc49e099dd705ebbdb2b784de56da56b050c320","source":{"kind":"arxiv","id":"2501.02256","version":1},"attestation_state":"computed","paper":{"title":"Covering Underwater Shadow Zones using Acoustic Reconfigurable Intelligent Surfaces","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Ian F. Akyildiz, Jingbo Tan, Jintao Wang, Longfei Zhao, Zhi Sun","submitted_at":"2025-01-04T11:06:49Z","abstract_excerpt":"To better explore the oceans, seamless communication coverage of the vast 3D underwater space is desired. Unlike terrestrial networks using radio signals, underwater acoustic communications face a unique challenge: nodes in underwater shadow zones cannot connect to the network, even within the line of sight. These shadow zones can extend for tens of kilometers, causing communication nodes to disconnect. Existing efforts focus on passive avoidance of shadow zones, but this strategy cannot ensure seamless coverage in dynamic ocean environments. This paper addresses the shadow zone problem by uti"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2501.02256","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2025-01-04T11:06:49Z","cross_cats_sorted":[],"title_canon_sha256":"dcefbdad4547b8388e7034561df2899cde9fc31d74d8a4fde26a7be6126418e5","abstract_canon_sha256":"762b1faea57f458d2b7242a5641c693984c51f8dacea120ecd7d25db40752603"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:57:04.865350Z","signature_b64":"YHYQk9TOe9oLp4jazKiHCzJQvzZz5vN3Mby7RDIlGyvswanpXEl3vrZXh+5GxI8G3mg71Z6EV0r22HHRTRXyBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c9d8667c4acca5b2bacb68ed0bc49e099dd705ebbdb2b784de56da56b050c320","last_reissued_at":"2026-07-05T09:57:04.864839Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:57:04.864839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Covering Underwater Shadow Zones using Acoustic Reconfigurable Intelligent Surfaces","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Ian F. Akyildiz, Jingbo Tan, Jintao Wang, Longfei Zhao, Zhi Sun","submitted_at":"2025-01-04T11:06:49Z","abstract_excerpt":"To better explore the oceans, seamless communication coverage of the vast 3D underwater space is desired. Unlike terrestrial networks using radio signals, underwater acoustic communications face a unique challenge: nodes in underwater shadow zones cannot connect to the network, even within the line of sight. These shadow zones can extend for tens of kilometers, causing communication nodes to disconnect. Existing efforts focus on passive avoidance of shadow zones, but this strategy cannot ensure seamless coverage in dynamic ocean environments. This paper addresses the shadow zone problem by uti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.02256","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2501.02256/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2501.02256","created_at":"2026-07-05T09:57:04.864911+00:00"},{"alias_kind":"arxiv_version","alias_value":"2501.02256v1","created_at":"2026-07-05T09:57:04.864911+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.02256","created_at":"2026-07-05T09:57:04.864911+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZHMGM7CKZSS3","created_at":"2026-07-05T09:57:04.864911+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZHMGM7CKZSS3FOWL","created_at":"2026-07-05T09:57:04.864911+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZHMGM7CK","created_at":"2026-07-05T09:57:04.864911+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2505.20887","citing_title":"Dynamical ON-OFF Control with Trajectory Prediction for Multi-RIS Wireless Networks","ref_index":5,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ZHMGM7CKZSS3FOWLNDWQXRE6BG","json":"https://pith.science/pith/ZHMGM7CKZSS3FOWLNDWQXRE6BG.json","graph_json":"https://pith.science/api/pith-number/ZHMGM7CKZSS3FOWLNDWQXRE6BG/graph.json","events_json":"https://pith.science/api/pith-number/ZHMGM7CKZSS3FOWLNDWQXRE6BG/events.json","paper":"https://pith.science/paper/ZHMGM7CK"},"agent_actions":{"view_html":"https://pith.science/pith/ZHMGM7CKZSS3FOWLNDWQXRE6BG","download_json":"https://pith.science/pith/ZHMGM7CKZSS3FOWLNDWQXRE6BG.json","view_paper":"https://pith.science/paper/ZHMGM7CK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2501.02256&json=true","fetch_graph":"https://pith.science/api/pith-number/ZHMGM7CKZSS3FOWLNDWQXRE6BG/graph.json","fetch_events":"https://pith.science/api/pith-number/ZHMGM7CKZSS3FOWLNDWQXRE6BG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZHMGM7CKZSS3FOWLNDWQXRE6BG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZHMGM7CKZSS3FOWLNDWQXRE6BG/action/storage_attestation","attest_author":"https://pith.science/pith/ZHMGM7CKZSS3FOWLNDWQXRE6BG/action/author_attestation","sign_citation":"https://pith.science/pith/ZHMGM7CKZSS3FOWLNDWQXRE6BG/action/citation_signature","submit_replication":"https://pith.science/pith/ZHMGM7CKZSS3FOWLNDWQXRE6BG/action/replication_record"}},"created_at":"2026-07-05T09:57:04.864911+00:00","updated_at":"2026-07-05T09:57:04.864911+00:00"}