{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:ACYQ5MN7W3M6L6HTNWEG7VTDME","short_pith_number":"pith:ACYQ5MN7","schema_version":"1.0","canonical_sha256":"00b10eb1bfb6d9e5f8f36d886fd663611a174b9d5411fbef621eab961db1a284","source":{"kind":"arxiv","id":"2402.07924","version":1},"attestation_state":"computed","paper":{"title":"IllusionX: An LLM-powered mixed reality personal companion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.HC","authors_text":"Ramez Yousri, Sherry Gamil, Soha Safwat, Yehia Kareem, Youstina Sherief, Zeyad Essam","submitted_at":"2024-02-04T15:52:41Z","abstract_excerpt":"Mixed Reality (MR) and Artificial Intelligence (AI) are increasingly becoming integral parts of our daily lives. Their applications range in fields from healthcare to education to entertainment. MR has opened a new frontier for such fields as well as new methods of enhancing user engagement. In this paper, We propose a new system one that combines the power of Large Language Models (LLMs) and mixed reality (MR) to provide a personalized companion for educational purposes. We present an overview of its structure and components as well tests to measure its performance. We found that our system 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":"2402.07924","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2024-02-04T15:52:41Z","cross_cats_sorted":["cs.MM"],"title_canon_sha256":"78b9cffb12edb12d0c54cfae82c6d650c4d6854d88064be0f38df5c095793b56","abstract_canon_sha256":"2eff86099f3d3f0e0e92c7af1ace1d65e59e7688eace83064f924e20b00e7d36"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:44:24.389088Z","signature_b64":"FXupRMPfvvhg0IDa5lF7S2Lu8EdNOjRRBRmehQfTpLqBR5uDQa/1k76Id674lrDStDx7uuk1wcu8WlCg/l4aCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"00b10eb1bfb6d9e5f8f36d886fd663611a174b9d5411fbef621eab961db1a284","last_reissued_at":"2026-07-05T07:44:24.388647Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:44:24.388647Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"IllusionX: An LLM-powered mixed reality personal companion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MM"],"primary_cat":"cs.HC","authors_text":"Ramez Yousri, Sherry Gamil, Soha Safwat, Yehia Kareem, Youstina Sherief, Zeyad Essam","submitted_at":"2024-02-04T15:52:41Z","abstract_excerpt":"Mixed Reality (MR) and Artificial Intelligence (AI) are increasingly becoming integral parts of our daily lives. Their applications range in fields from healthcare to education to entertainment. MR has opened a new frontier for such fields as well as new methods of enhancing user engagement. In this paper, We propose a new system one that combines the power of Large Language Models (LLMs) and mixed reality (MR) to provide a personalized companion for educational purposes. We present an overview of its structure and components as well tests to measure its performance. We found that our system i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.07924","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/2402.07924/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":"2402.07924","created_at":"2026-07-05T07:44:24.388705+00:00"},{"alias_kind":"arxiv_version","alias_value":"2402.07924v1","created_at":"2026-07-05T07:44:24.388705+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.07924","created_at":"2026-07-05T07:44:24.388705+00:00"},{"alias_kind":"pith_short_12","alias_value":"ACYQ5MN7W3M6","created_at":"2026-07-05T07:44:24.388705+00:00"},{"alias_kind":"pith_short_16","alias_value":"ACYQ5MN7W3M6L6HT","created_at":"2026-07-05T07:44:24.388705+00:00"},{"alias_kind":"pith_short_8","alias_value":"ACYQ5MN7","created_at":"2026-07-05T07:44:24.388705+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.10108","citing_title":"JARVIS: A Just-in-Time Augmented Reality VLM-Powered Instruction System for Cross-Reality Task Guidance","ref_index":38,"is_internal_anchor":false},{"citing_arxiv_id":"2604.10108","citing_title":"JARVIS: A Just-in-Time Augmented Reality VLM-Powered Instruction System for Cross-Reality Task Guidance","ref_index":38,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/ACYQ5MN7W3M6L6HTNWEG7VTDME","json":"https://pith.science/pith/ACYQ5MN7W3M6L6HTNWEG7VTDME.json","graph_json":"https://pith.science/api/pith-number/ACYQ5MN7W3M6L6HTNWEG7VTDME/graph.json","events_json":"https://pith.science/api/pith-number/ACYQ5MN7W3M6L6HTNWEG7VTDME/events.json","paper":"https://pith.science/paper/ACYQ5MN7"},"agent_actions":{"view_html":"https://pith.science/pith/ACYQ5MN7W3M6L6HTNWEG7VTDME","download_json":"https://pith.science/pith/ACYQ5MN7W3M6L6HTNWEG7VTDME.json","view_paper":"https://pith.science/paper/ACYQ5MN7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2402.07924&json=true","fetch_graph":"https://pith.science/api/pith-number/ACYQ5MN7W3M6L6HTNWEG7VTDME/graph.json","fetch_events":"https://pith.science/api/pith-number/ACYQ5MN7W3M6L6HTNWEG7VTDME/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ACYQ5MN7W3M6L6HTNWEG7VTDME/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ACYQ5MN7W3M6L6HTNWEG7VTDME/action/storage_attestation","attest_author":"https://pith.science/pith/ACYQ5MN7W3M6L6HTNWEG7VTDME/action/author_attestation","sign_citation":"https://pith.science/pith/ACYQ5MN7W3M6L6HTNWEG7VTDME/action/citation_signature","submit_replication":"https://pith.science/pith/ACYQ5MN7W3M6L6HTNWEG7VTDME/action/replication_record"}},"created_at":"2026-07-05T07:44:24.388705+00:00","updated_at":"2026-07-05T07:44:24.388705+00:00"}