{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:6FDQ7CLIYACNZTA6NVB5DET47X","short_pith_number":"pith:6FDQ7CLI","schema_version":"1.0","canonical_sha256":"f1470f8968c004dccc1e6d43d1927cfdfdcca5e4dd171ad963799efc896c7c87","source":{"kind":"arxiv","id":"2605.17988","version":1},"attestation_state":"computed","paper":{"title":"A Computationally Efficient Reciprocal Effective Roughness Model for Diffuse Scattering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.optics"],"primary_cat":"eess.SP","authors_text":"Camillo Gentile, Enrico M. Vitucci, Giacomo Melloni, Jack Chuang, Nada Golmie, Samuel Berweger, Vittorio Degli Esposti","submitted_at":"2026-05-18T07:42:50Z","abstract_excerpt":"Ray-tracing (RT) has become central to site-specific electromagnetic propagation modeling in dynamic complex environments. Yet its computational burden grows sharply as high-fidelity digital twins of these environments scale to millions of facets whose material parameters must be continuously updated as the environment changes. The challenge is amplified at mmWave and sub-THz frequencies, where surface roughness becomes comparable to the wavelength and so diffuse scattering can account for up to 40% of the received power, making accurate yet tractable models essential. The popular Effective Ro"},"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":"2605.17988","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-05-18T07:42:50Z","cross_cats_sorted":["physics.optics"],"title_canon_sha256":"1621b092ebd4e3b77b61970b2cecca966efd34b64ac35f4c82b120687d990d83","abstract_canon_sha256":"eac893cb544d0ccfe3c2b44b3db551e322a0bc0b3bd95e00adf68ef897a894ec"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:05:09.751424Z","signature_b64":"c9bAf0oo0wJEOdJ2RlodfoqT0QmAIivbyevXU+TfUDlzjiAE3hzGckgA7LvaUn0QR5m6xbG0VTxiCwiqE13vBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f1470f8968c004dccc1e6d43d1927cfdfdcca5e4dd171ad963799efc896c7c87","last_reissued_at":"2026-05-20T00:05:09.750564Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:05:09.750564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Computationally Efficient Reciprocal Effective Roughness Model for Diffuse Scattering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["physics.optics"],"primary_cat":"eess.SP","authors_text":"Camillo Gentile, Enrico M. Vitucci, Giacomo Melloni, Jack Chuang, Nada Golmie, Samuel Berweger, Vittorio Degli Esposti","submitted_at":"2026-05-18T07:42:50Z","abstract_excerpt":"Ray-tracing (RT) has become central to site-specific electromagnetic propagation modeling in dynamic complex environments. Yet its computational burden grows sharply as high-fidelity digital twins of these environments scale to millions of facets whose material parameters must be continuously updated as the environment changes. The challenge is amplified at mmWave and sub-THz frequencies, where surface roughness becomes comparable to the wavelength and so diffuse scattering can account for up to 40% of the received power, making accurate yet tractable models essential. The popular Effective Ro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.17988","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/2605.17988/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"ai_meta_artifact","ran_at":"2026-05-19T23:33:35.555684Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"3f19edd096f46a8b8d0626a67dca8d6fcecea5ef787a5c1732587582d32f7dc8"},"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":"2605.17988","created_at":"2026-05-20T00:05:09.750721+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.17988v1","created_at":"2026-05-20T00:05:09.750721+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.17988","created_at":"2026-05-20T00:05:09.750721+00:00"},{"alias_kind":"pith_short_12","alias_value":"6FDQ7CLIYACN","created_at":"2026-05-20T00:05:09.750721+00:00"},{"alias_kind":"pith_short_16","alias_value":"6FDQ7CLIYACNZTA6","created_at":"2026-05-20T00:05:09.750721+00:00"},{"alias_kind":"pith_short_8","alias_value":"6FDQ7CLI","created_at":"2026-05-20T00:05:09.750721+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/6FDQ7CLIYACNZTA6NVB5DET47X","json":"https://pith.science/pith/6FDQ7CLIYACNZTA6NVB5DET47X.json","graph_json":"https://pith.science/api/pith-number/6FDQ7CLIYACNZTA6NVB5DET47X/graph.json","events_json":"https://pith.science/api/pith-number/6FDQ7CLIYACNZTA6NVB5DET47X/events.json","paper":"https://pith.science/paper/6FDQ7CLI"},"agent_actions":{"view_html":"https://pith.science/pith/6FDQ7CLIYACNZTA6NVB5DET47X","download_json":"https://pith.science/pith/6FDQ7CLIYACNZTA6NVB5DET47X.json","view_paper":"https://pith.science/paper/6FDQ7CLI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.17988&json=true","fetch_graph":"https://pith.science/api/pith-number/6FDQ7CLIYACNZTA6NVB5DET47X/graph.json","fetch_events":"https://pith.science/api/pith-number/6FDQ7CLIYACNZTA6NVB5DET47X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6FDQ7CLIYACNZTA6NVB5DET47X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6FDQ7CLIYACNZTA6NVB5DET47X/action/storage_attestation","attest_author":"https://pith.science/pith/6FDQ7CLIYACNZTA6NVB5DET47X/action/author_attestation","sign_citation":"https://pith.science/pith/6FDQ7CLIYACNZTA6NVB5DET47X/action/citation_signature","submit_replication":"https://pith.science/pith/6FDQ7CLIYACNZTA6NVB5DET47X/action/replication_record"}},"created_at":"2026-05-20T00:05:09.750721+00:00","updated_at":"2026-05-20T00:05:09.750721+00:00"}