{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:AQAJKEYWKC2VP27AEFJR6TFMGH","short_pith_number":"pith:AQAJKEYW","schema_version":"1.0","canonical_sha256":"040095131650b557ebe021531f4cac31f9cf760505177bc592c167379b172d1f","source":{"kind":"arxiv","id":"2211.02648","version":1},"attestation_state":"computed","paper":{"title":"HoloLens 2 Sensor Streaming","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Enrique Dunn, Juan C. Dibene","submitted_at":"2022-11-04T17:58:52Z","abstract_excerpt":"We present a HoloLens 2 server application for streaming device data via TCP in real time. The server can stream data from the four grayscale cameras, depth sensor, IMU, front RGB camera, microphone, head tracking, eye tracking, and hand tracking. Each sent data frame has a timestamp and, optionally, the instantaneous pose of the device in 3D space. The server allows downloading device calibration data, such as camera intrinsics, and can be integrated into Unity projects as a plugin, with support for basic upstream capabilities. To achieve real time video streaming at full frame rate, we lever"},"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":"2211.02648","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.MM","submitted_at":"2022-11-04T17:58:52Z","cross_cats_sorted":[],"title_canon_sha256":"1d617f0691ca351574e897d2b76c14c5d313c24167538cbd3f793a157c3d82d8","abstract_canon_sha256":"36286683ddfb65109f75fe95f47c36cffaf20836887170e5a4a591e79ab4fbf1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:13:17.788895Z","signature_b64":"CO7FufJ8tuq1VewLaYCc7aRadH3e6W5ozhMOABP8BXzUEBc3104V/lt5eIPkgmbvISn7oSkwMNnOVGAKEhKLBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"040095131650b557ebe021531f4cac31f9cf760505177bc592c167379b172d1f","last_reissued_at":"2026-07-05T05:13:17.788432Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:13:17.788432Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"HoloLens 2 Sensor Streaming","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.MM","authors_text":"Enrique Dunn, Juan C. Dibene","submitted_at":"2022-11-04T17:58:52Z","abstract_excerpt":"We present a HoloLens 2 server application for streaming device data via TCP in real time. The server can stream data from the four grayscale cameras, depth sensor, IMU, front RGB camera, microphone, head tracking, eye tracking, and hand tracking. Each sent data frame has a timestamp and, optionally, the instantaneous pose of the device in 3D space. The server allows downloading device calibration data, such as camera intrinsics, and can be integrated into Unity projects as a plugin, with support for basic upstream capabilities. To achieve real time video streaming at full frame rate, we lever"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.02648","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/2211.02648/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":"2211.02648","created_at":"2026-07-05T05:13:17.788490+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.02648v1","created_at":"2026-07-05T05:13:17.788490+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.02648","created_at":"2026-07-05T05:13:17.788490+00:00"},{"alias_kind":"pith_short_12","alias_value":"AQAJKEYWKC2V","created_at":"2026-07-05T05:13:17.788490+00:00"},{"alias_kind":"pith_short_16","alias_value":"AQAJKEYWKC2VP27A","created_at":"2026-07-05T05:13:17.788490+00:00"},{"alias_kind":"pith_short_8","alias_value":"AQAJKEYW","created_at":"2026-07-05T05:13:17.788490+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.04992","citing_title":"Multi-Camera AR Guidance System for Surgical Instrument Handling and Assembly: Investigating Workload and Efficiency","ref_index":8,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/AQAJKEYWKC2VP27AEFJR6TFMGH","json":"https://pith.science/pith/AQAJKEYWKC2VP27AEFJR6TFMGH.json","graph_json":"https://pith.science/api/pith-number/AQAJKEYWKC2VP27AEFJR6TFMGH/graph.json","events_json":"https://pith.science/api/pith-number/AQAJKEYWKC2VP27AEFJR6TFMGH/events.json","paper":"https://pith.science/paper/AQAJKEYW"},"agent_actions":{"view_html":"https://pith.science/pith/AQAJKEYWKC2VP27AEFJR6TFMGH","download_json":"https://pith.science/pith/AQAJKEYWKC2VP27AEFJR6TFMGH.json","view_paper":"https://pith.science/paper/AQAJKEYW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.02648&json=true","fetch_graph":"https://pith.science/api/pith-number/AQAJKEYWKC2VP27AEFJR6TFMGH/graph.json","fetch_events":"https://pith.science/api/pith-number/AQAJKEYWKC2VP27AEFJR6TFMGH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AQAJKEYWKC2VP27AEFJR6TFMGH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AQAJKEYWKC2VP27AEFJR6TFMGH/action/storage_attestation","attest_author":"https://pith.science/pith/AQAJKEYWKC2VP27AEFJR6TFMGH/action/author_attestation","sign_citation":"https://pith.science/pith/AQAJKEYWKC2VP27AEFJR6TFMGH/action/citation_signature","submit_replication":"https://pith.science/pith/AQAJKEYWKC2VP27AEFJR6TFMGH/action/replication_record"}},"created_at":"2026-07-05T05:13:17.788490+00:00","updated_at":"2026-07-05T05:13:17.788490+00:00"}