{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:7VPPZNLZOSFMI6BUCGERLVW5FK","short_pith_number":"pith:7VPPZNLZ","schema_version":"1.0","canonical_sha256":"fd5efcb579748ac47834118915d6dd2aa60d6b08ddd4a645628fa9d373287f73","source":{"kind":"arxiv","id":"1810.02509","version":2},"attestation_state":"computed","paper":{"title":"An Edge-Computing Based Architecture for Mobile Augmented Reality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Guanding Yu, Guan Huang, Jinke Ren, Yinghui He, Yunlong Cai, Zhaoyang Zhang","submitted_at":"2018-10-05T03:53:10Z","abstract_excerpt":"In order to mitigate the long processing delay and high energy consumption of mobile augmented reality (AR) applications, mobile edge computing (MEC) has been recently proposed and is envisioned as a promising means to deliver better quality of experience (QoE) for AR consumers. In this article, we first present a comprehensive AR overview, including the indispensable components of general AR applications, fashionable AR devices, and several existing techniques for overcoming the thorny latency and energy consumption problems. Then, we propose a novel hierarchical computation architecture by i"},"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":"1810.02509","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2018-10-05T03:53:10Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"e964afdb4eade5f278e0494e9022f1bdee63c0e8e75ac8dbf18191687b721335","abstract_canon_sha256":"ae44fb3bdb43df5c10e6ca51b11a50c36c7c3f57d96ab6f5879399485832826f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:24.010998Z","signature_b64":"BkhQ6NoVCf6WIYTaluk+VhAzMeMq+DNMc0l8rjbcguvyxXsi8a+Qdut/7ypwAQGPYlFaPUtrct3/asbvhM8ZDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd5efcb579748ac47834118915d6dd2aa60d6b08ddd4a645628fa9d373287f73","last_reissued_at":"2026-05-18T00:03:24.010370Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:24.010370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Edge-Computing Based Architecture for Mobile Augmented Reality","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Guanding Yu, Guan Huang, Jinke Ren, Yinghui He, Yunlong Cai, Zhaoyang Zhang","submitted_at":"2018-10-05T03:53:10Z","abstract_excerpt":"In order to mitigate the long processing delay and high energy consumption of mobile augmented reality (AR) applications, mobile edge computing (MEC) has been recently proposed and is envisioned as a promising means to deliver better quality of experience (QoE) for AR consumers. In this article, we first present a comprehensive AR overview, including the indispensable components of general AR applications, fashionable AR devices, and several existing techniques for overcoming the thorny latency and energy consumption problems. Then, we propose a novel hierarchical computation architecture by i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.02509","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1810.02509","created_at":"2026-05-18T00:03:24.010467+00:00"},{"alias_kind":"arxiv_version","alias_value":"1810.02509v2","created_at":"2026-05-18T00:03:24.010467+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.02509","created_at":"2026-05-18T00:03:24.010467+00:00"},{"alias_kind":"pith_short_12","alias_value":"7VPPZNLZOSFM","created_at":"2026-05-18T12:32:11.075285+00:00"},{"alias_kind":"pith_short_16","alias_value":"7VPPZNLZOSFMI6BU","created_at":"2026-05-18T12:32:11.075285+00:00"},{"alias_kind":"pith_short_8","alias_value":"7VPPZNLZ","created_at":"2026-05-18T12:32:11.075285+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/7VPPZNLZOSFMI6BUCGERLVW5FK","json":"https://pith.science/pith/7VPPZNLZOSFMI6BUCGERLVW5FK.json","graph_json":"https://pith.science/api/pith-number/7VPPZNLZOSFMI6BUCGERLVW5FK/graph.json","events_json":"https://pith.science/api/pith-number/7VPPZNLZOSFMI6BUCGERLVW5FK/events.json","paper":"https://pith.science/paper/7VPPZNLZ"},"agent_actions":{"view_html":"https://pith.science/pith/7VPPZNLZOSFMI6BUCGERLVW5FK","download_json":"https://pith.science/pith/7VPPZNLZOSFMI6BUCGERLVW5FK.json","view_paper":"https://pith.science/paper/7VPPZNLZ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1810.02509&json=true","fetch_graph":"https://pith.science/api/pith-number/7VPPZNLZOSFMI6BUCGERLVW5FK/graph.json","fetch_events":"https://pith.science/api/pith-number/7VPPZNLZOSFMI6BUCGERLVW5FK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7VPPZNLZOSFMI6BUCGERLVW5FK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7VPPZNLZOSFMI6BUCGERLVW5FK/action/storage_attestation","attest_author":"https://pith.science/pith/7VPPZNLZOSFMI6BUCGERLVW5FK/action/author_attestation","sign_citation":"https://pith.science/pith/7VPPZNLZOSFMI6BUCGERLVW5FK/action/citation_signature","submit_replication":"https://pith.science/pith/7VPPZNLZOSFMI6BUCGERLVW5FK/action/replication_record"}},"created_at":"2026-05-18T00:03:24.010467+00:00","updated_at":"2026-05-18T00:03:24.010467+00:00"}