{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:H5R43N5WGKN75FHGZKW37XNHRS","short_pith_number":"pith:H5R43N5W","canonical_record":{"source":{"id":"2505.15478","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-05-21T12:54:00Z","cross_cats_sorted":[],"title_canon_sha256":"9450e05db1dc09be6e52f90a5e6e4735b2ad7327d3fca85d58ec8dd820439d55","abstract_canon_sha256":"7c8ff33f7286d10a9a6cb8b7fce0b1099f9e66e2a7170f598af1628c60fed6fc"},"schema_version":"1.0"},"canonical_sha256":"3f63cdb7b6329bfe94e6caadbfdda78cb8d68fcd7cbe7b07c347c767330a6819","source":{"kind":"arxiv","id":"2505.15478","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15478","created_at":"2026-07-05T11:06:46Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15478v1","created_at":"2026-07-05T11:06:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15478","created_at":"2026-07-05T11:06:46Z"},{"alias_kind":"pith_short_12","alias_value":"H5R43N5WGKN7","created_at":"2026-07-05T11:06:46Z"},{"alias_kind":"pith_short_16","alias_value":"H5R43N5WGKN75FHG","created_at":"2026-07-05T11:06:46Z"},{"alias_kind":"pith_short_8","alias_value":"H5R43N5W","created_at":"2026-07-05T11:06:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:H5R43N5WGKN75FHGZKW37XNHRS","target":"record","payload":{"canonical_record":{"source":{"id":"2505.15478","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-05-21T12:54:00Z","cross_cats_sorted":[],"title_canon_sha256":"9450e05db1dc09be6e52f90a5e6e4735b2ad7327d3fca85d58ec8dd820439d55","abstract_canon_sha256":"7c8ff33f7286d10a9a6cb8b7fce0b1099f9e66e2a7170f598af1628c60fed6fc"},"schema_version":"1.0"},"canonical_sha256":"3f63cdb7b6329bfe94e6caadbfdda78cb8d68fcd7cbe7b07c347c767330a6819","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:46.510774Z","signature_b64":"3+rtkMJSaLR4SRM2AboLplIt4uGalT8tqyaTidniC/BStpoGtdP2MFBPe/n+KphSQrxOFx5aFglyfof5e37tDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3f63cdb7b6329bfe94e6caadbfdda78cb8d68fcd7cbe7b07c347c767330a6819","last_reissued_at":"2026-07-05T11:06:46.510293Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:46.510293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.15478","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:06:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7MoJZR257oG9eDIKoSlCpq5IUYYE47V6OMTOK8Ow1sjQcobmHLGDslO3vsDaYHIJgkrxrPMOnCIpaEhgr1XeDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T08:25:09.174752Z"},"content_sha256":"c396fe5b4119c07c68b5044073fc44b7ef7ab91430a1b19678b5d38d8b972406","schema_version":"1.0","event_id":"sha256:c396fe5b4119c07c68b5044073fc44b7ef7ab91430a1b19678b5d38d8b972406"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:H5R43N5WGKN75FHGZKW37XNHRS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AI-empowered Real-Time Line-of-Sight Identification via Network Digital Twins","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Damiano Badini, Francesco Linsalata, Lorenzo Cazzella, Michele Zhu, Silvia Mura, Umberto Spagnolini","submitted_at":"2025-05-21T12:54:00Z","abstract_excerpt":"The identification of Line-of-Sight (LoS) conditions is critical for ensuring reliable high-frequency communication links, which are particularly vulnerable to blockages and rapid channel variations. Network Digital Twins (NDTs) and Ray-Tracing (RT) techniques can significantly automate the large-scale collection and labeling of channel data, tailored to specific wireless environments. This paper examines the quality of Artificial Intelligence (AI) models trained on data generated by Network Digital Twins. We propose and evaluate training strategies for a general-purpose Deep Learning model, d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15478","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/2505.15478/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:06:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"taB/+hZVJlY1EVQRsPJvC9YezXFmHU580QrAwgXz5tpMfg5spFw3TVGsNwSe6A0Jjm+9MXXIMpO9klQ42XDdBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T08:25:09.176901Z"},"content_sha256":"93097cf28684b46c82c79940427a483758134c9a13755f0dc0cfc76b71677d2f","schema_version":"1.0","event_id":"sha256:93097cf28684b46c82c79940427a483758134c9a13755f0dc0cfc76b71677d2f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/H5R43N5WGKN75FHGZKW37XNHRS/bundle.json","state_url":"https://pith.science/pith/H5R43N5WGKN75FHGZKW37XNHRS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/H5R43N5WGKN75FHGZKW37XNHRS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-06T08:25:09Z","links":{"resolver":"https://pith.science/pith/H5R43N5WGKN75FHGZKW37XNHRS","bundle":"https://pith.science/pith/H5R43N5WGKN75FHGZKW37XNHRS/bundle.json","state":"https://pith.science/pith/H5R43N5WGKN75FHGZKW37XNHRS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/H5R43N5WGKN75FHGZKW37XNHRS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:H5R43N5WGKN75FHGZKW37XNHRS","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":"7c8ff33f7286d10a9a6cb8b7fce0b1099f9e66e2a7170f598af1628c60fed6fc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-05-21T12:54:00Z","title_canon_sha256":"9450e05db1dc09be6e52f90a5e6e4735b2ad7327d3fca85d58ec8dd820439d55"},"schema_version":"1.0","source":{"id":"2505.15478","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15478","created_at":"2026-07-05T11:06:46Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15478v1","created_at":"2026-07-05T11:06:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15478","created_at":"2026-07-05T11:06:46Z"},{"alias_kind":"pith_short_12","alias_value":"H5R43N5WGKN7","created_at":"2026-07-05T11:06:46Z"},{"alias_kind":"pith_short_16","alias_value":"H5R43N5WGKN75FHG","created_at":"2026-07-05T11:06:46Z"},{"alias_kind":"pith_short_8","alias_value":"H5R43N5W","created_at":"2026-07-05T11:06:46Z"}],"graph_snapshots":[{"event_id":"sha256:93097cf28684b46c82c79940427a483758134c9a13755f0dc0cfc76b71677d2f","target":"graph","created_at":"2026-07-05T11:06:46Z","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/2505.15478/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The identification of Line-of-Sight (LoS) conditions is critical for ensuring reliable high-frequency communication links, which are particularly vulnerable to blockages and rapid channel variations. Network Digital Twins (NDTs) and Ray-Tracing (RT) techniques can significantly automate the large-scale collection and labeling of channel data, tailored to specific wireless environments. This paper examines the quality of Artificial Intelligence (AI) models trained on data generated by Network Digital Twins. We propose and evaluate training strategies for a general-purpose Deep Learning model, d","authors_text":"Damiano Badini, Francesco Linsalata, Lorenzo Cazzella, Michele Zhu, Silvia Mura, Umberto Spagnolini","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-05-21T12:54:00Z","title":"AI-empowered Real-Time Line-of-Sight Identification via Network Digital Twins"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15478","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:c396fe5b4119c07c68b5044073fc44b7ef7ab91430a1b19678b5d38d8b972406","target":"record","created_at":"2026-07-05T11:06:46Z","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":"7c8ff33f7286d10a9a6cb8b7fce0b1099f9e66e2a7170f598af1628c60fed6fc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-05-21T12:54:00Z","title_canon_sha256":"9450e05db1dc09be6e52f90a5e6e4735b2ad7327d3fca85d58ec8dd820439d55"},"schema_version":"1.0","source":{"id":"2505.15478","kind":"arxiv","version":1}},"canonical_sha256":"3f63cdb7b6329bfe94e6caadbfdda78cb8d68fcd7cbe7b07c347c767330a6819","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f63cdb7b6329bfe94e6caadbfdda78cb8d68fcd7cbe7b07c347c767330a6819","first_computed_at":"2026-07-05T11:06:46.510293Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:46.510293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3+rtkMJSaLR4SRM2AboLplIt4uGalT8tqyaTidniC/BStpoGtdP2MFBPe/n+KphSQrxOFx5aFglyfof5e37tDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:46.510774Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.15478","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c396fe5b4119c07c68b5044073fc44b7ef7ab91430a1b19678b5d38d8b972406","sha256:93097cf28684b46c82c79940427a483758134c9a13755f0dc0cfc76b71677d2f"],"state_sha256":"e7e0f33eb94c76e5f7ccf2ed2adef2ce5f2f17480f3bb928971cb46c4ced289a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eQWS7kxQG55H6K8Kp1hVp16zJABYKuuURBbcAGwSZ7AK/YWnEfAwsg9Naz4Jrlv3jUZ+6QRRpyAXEVcydbV7AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T08:25:09.185728Z","bundle_sha256":"3d18787d70a6b87900a6bd039d55cdceb2bfdfeeed6f28b2c44fb8186bbba3f8"}}