{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:U5GMH424QTUNCCRU4JXVIPNBZZ","short_pith_number":"pith:U5GMH424","schema_version":"1.0","canonical_sha256":"a74cc3f35c84e8d10a34e26f543da1ce564e1d5401bca11d6f87d5da2bff065c","source":{"kind":"arxiv","id":"2312.06475","version":1},"attestation_state":"computed","paper":{"title":"NetROS-5G: Enhancing Personalization through 5G Network Slicing and Edge Computing in Human-Robot Interactions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Anestis Dalgkitsis, Christos Verikoukis","submitted_at":"2023-12-11T16:03:31Z","abstract_excerpt":"Robots are increasingly being used in a variety of applications, from manufacturing and healthcare to education and customer service. However, the mobility, power, and price points of these robots often dictate that they do not have sufficient computing power on board to run modern algorithms for personalization in human-robot interaction at desired rates. This can limit the effectiveness of the interaction and limit the potential applications for these robots. 5G connectivity provides a solution to this problem by offering high data rates, bandwidth, and low latency that can facilitate roboti"},"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":"2312.06475","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2023-12-11T16:03:31Z","cross_cats_sorted":[],"title_canon_sha256":"dc8b60f0e7f919ae04bd7e3c1a3e05b64d7f024db789726e2c5ab7dc8861f8c0","abstract_canon_sha256":"95370664f8814ee8c5fc8dbfff4415254402efe89f1b2189b086090d1d29e2e8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:22:45.568506Z","signature_b64":"sg+ExQWRE+/IqJch4/6blcD+ibCp9v7QAKxNCkoEFBxbGSjDbS55Vk4uZzGCfZpC8IfEfTVo3BxeMxO/cW0pBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a74cc3f35c84e8d10a34e26f543da1ce564e1d5401bca11d6f87d5da2bff065c","last_reissued_at":"2026-07-05T07:22:45.568028Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:22:45.568028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NetROS-5G: Enhancing Personalization through 5G Network Slicing and Edge Computing in Human-Robot Interactions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.RO","authors_text":"Anestis Dalgkitsis, Christos Verikoukis","submitted_at":"2023-12-11T16:03:31Z","abstract_excerpt":"Robots are increasingly being used in a variety of applications, from manufacturing and healthcare to education and customer service. However, the mobility, power, and price points of these robots often dictate that they do not have sufficient computing power on board to run modern algorithms for personalization in human-robot interaction at desired rates. This can limit the effectiveness of the interaction and limit the potential applications for these robots. 5G connectivity provides a solution to this problem by offering high data rates, bandwidth, and low latency that can facilitate roboti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.06475","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/2312.06475/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":"2312.06475","created_at":"2026-07-05T07:22:45.568084+00:00"},{"alias_kind":"arxiv_version","alias_value":"2312.06475v1","created_at":"2026-07-05T07:22:45.568084+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.06475","created_at":"2026-07-05T07:22:45.568084+00:00"},{"alias_kind":"pith_short_12","alias_value":"U5GMH424QTUN","created_at":"2026-07-05T07:22:45.568084+00:00"},{"alias_kind":"pith_short_16","alias_value":"U5GMH424QTUNCCRU","created_at":"2026-07-05T07:22:45.568084+00:00"},{"alias_kind":"pith_short_8","alias_value":"U5GMH424","created_at":"2026-07-05T07:22:45.568084+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.04818","citing_title":"Real-World Deployment of a 5G-Connected Edge-Controlled Aerial Robot in Industrial Subterranean Mines","ref_index":14,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/U5GMH424QTUNCCRU4JXVIPNBZZ","json":"https://pith.science/pith/U5GMH424QTUNCCRU4JXVIPNBZZ.json","graph_json":"https://pith.science/api/pith-number/U5GMH424QTUNCCRU4JXVIPNBZZ/graph.json","events_json":"https://pith.science/api/pith-number/U5GMH424QTUNCCRU4JXVIPNBZZ/events.json","paper":"https://pith.science/paper/U5GMH424"},"agent_actions":{"view_html":"https://pith.science/pith/U5GMH424QTUNCCRU4JXVIPNBZZ","download_json":"https://pith.science/pith/U5GMH424QTUNCCRU4JXVIPNBZZ.json","view_paper":"https://pith.science/paper/U5GMH424","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2312.06475&json=true","fetch_graph":"https://pith.science/api/pith-number/U5GMH424QTUNCCRU4JXVIPNBZZ/graph.json","fetch_events":"https://pith.science/api/pith-number/U5GMH424QTUNCCRU4JXVIPNBZZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/U5GMH424QTUNCCRU4JXVIPNBZZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/U5GMH424QTUNCCRU4JXVIPNBZZ/action/storage_attestation","attest_author":"https://pith.science/pith/U5GMH424QTUNCCRU4JXVIPNBZZ/action/author_attestation","sign_citation":"https://pith.science/pith/U5GMH424QTUNCCRU4JXVIPNBZZ/action/citation_signature","submit_replication":"https://pith.science/pith/U5GMH424QTUNCCRU4JXVIPNBZZ/action/replication_record"}},"created_at":"2026-07-05T07:22:45.568084+00:00","updated_at":"2026-07-05T07:22:45.568084+00:00"}