{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OH2XMYET3BTEK2NWKSYDIZJ2YN","short_pith_number":"pith:OH2XMYET","canonical_record":{"source":{"id":"2503.04860","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-06T08:52:44Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"536a4b231b8cf6c526782f166b307c6aa81aa32c413b39b33aae89815635c327","abstract_canon_sha256":"3dbc2782b06d63bc95d64a881c80516bd8fceb800225c97d8f0bf2654bbcee4c"},"schema_version":"1.0"},"canonical_sha256":"71f5766093d8664569b654b034653ac368aaa8ba8ca598f18074ab7562d06161","source":{"kind":"arxiv","id":"2503.04860","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.04860","created_at":"2026-07-05T10:25:50Z"},{"alias_kind":"arxiv_version","alias_value":"2503.04860v1","created_at":"2026-07-05T10:25:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.04860","created_at":"2026-07-05T10:25:50Z"},{"alias_kind":"pith_short_12","alias_value":"OH2XMYET3BTE","created_at":"2026-07-05T10:25:50Z"},{"alias_kind":"pith_short_16","alias_value":"OH2XMYET3BTEK2NW","created_at":"2026-07-05T10:25:50Z"},{"alias_kind":"pith_short_8","alias_value":"OH2XMYET","created_at":"2026-07-05T10:25:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OH2XMYET3BTEK2NWKSYDIZJ2YN","target":"record","payload":{"canonical_record":{"source":{"id":"2503.04860","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-06T08:52:44Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"536a4b231b8cf6c526782f166b307c6aa81aa32c413b39b33aae89815635c327","abstract_canon_sha256":"3dbc2782b06d63bc95d64a881c80516bd8fceb800225c97d8f0bf2654bbcee4c"},"schema_version":"1.0"},"canonical_sha256":"71f5766093d8664569b654b034653ac368aaa8ba8ca598f18074ab7562d06161","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:25:50.565696Z","signature_b64":"XW05Rh86W6po/FzjQMFRAaf3q2+J8zdYMOHjrN/PzNkJ+5RvEIv4l4w4itKetmzOd0p9GSji4cVMTPRwFpJ8CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71f5766093d8664569b654b034653ac368aaa8ba8ca598f18074ab7562d06161","last_reissued_at":"2026-07-05T10:25:50.564951Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:25:50.564951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.04860","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:25:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GHPcKc/hrgUFRAdvLABGMXDLqmIj15TZ5yHbk3TemxxEOohXY7iDm2Qt/c5Urw/Yp7YVGZiGmiwwNwJBZtEnDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:42:15.534281Z"},"content_sha256":"054ecdf4fafa99a483b625802a3322e9b3a29d6c5876f4d0ebd017a79f7d079b","schema_version":"1.0","event_id":"sha256:054ecdf4fafa99a483b625802a3322e9b3a29d6c5876f4d0ebd017a79f7d079b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OH2XMYET3BTEK2NWKSYDIZJ2YN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.CV","authors_text":"Carlos C. N. Kuhn, Diep N. Nguyen, Dinh Thai Hoang, Ibrahim Radwan, Mohammad Abu Alsheikh, Nguyen Quang Hieu, Yibeltal F. Alem","submitted_at":"2025-03-06T08:52:44Z","abstract_excerpt":"Full 3D human pose reconstruction is a critical enabler for extended reality (XR) applications in future sixth generation (6G) networks, supporting immersive interactions in gaming, virtual meetings, and remote collaboration. However, achieving accurate pose reconstruction over wireless networks remains challenging due to channel impairments, bit errors, and quantization effects. Existing approaches often assume error-free transmission in indoor settings, limiting their applicability to real-world scenarios. To address these challenges, we propose a novel deep learning-based framework for huma"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.04860","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/2503.04860/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:25:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XOV104h6OOSeWbn+kJRL34rtyxP7P1uDDlfSrbYPiKVha2AvEgE3Wk/hyAdpFK+b8oReRgQpunQlr5evrpdaAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T09:42:15.535229Z"},"content_sha256":"15c1dbbe88c2f5fa4bd4646e8692fee40de01427590d5fe709ccf8e82ea19c9d","schema_version":"1.0","event_id":"sha256:15c1dbbe88c2f5fa4bd4646e8692fee40de01427590d5fe709ccf8e82ea19c9d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OH2XMYET3BTEK2NWKSYDIZJ2YN/bundle.json","state_url":"https://pith.science/pith/OH2XMYET3BTEK2NWKSYDIZJ2YN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OH2XMYET3BTEK2NWKSYDIZJ2YN/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-04T09:42:15Z","links":{"resolver":"https://pith.science/pith/OH2XMYET3BTEK2NWKSYDIZJ2YN","bundle":"https://pith.science/pith/OH2XMYET3BTEK2NWKSYDIZJ2YN/bundle.json","state":"https://pith.science/pith/OH2XMYET3BTEK2NWKSYDIZJ2YN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OH2XMYET3BTEK2NWKSYDIZJ2YN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OH2XMYET3BTEK2NWKSYDIZJ2YN","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"3dbc2782b06d63bc95d64a881c80516bd8fceb800225c97d8f0bf2654bbcee4c","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-06T08:52:44Z","title_canon_sha256":"536a4b231b8cf6c526782f166b307c6aa81aa32c413b39b33aae89815635c327"},"schema_version":"1.0","source":{"id":"2503.04860","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.04860","created_at":"2026-07-05T10:25:50Z"},{"alias_kind":"arxiv_version","alias_value":"2503.04860v1","created_at":"2026-07-05T10:25:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.04860","created_at":"2026-07-05T10:25:50Z"},{"alias_kind":"pith_short_12","alias_value":"OH2XMYET3BTE","created_at":"2026-07-05T10:25:50Z"},{"alias_kind":"pith_short_16","alias_value":"OH2XMYET3BTEK2NW","created_at":"2026-07-05T10:25:50Z"},{"alias_kind":"pith_short_8","alias_value":"OH2XMYET","created_at":"2026-07-05T10:25:50Z"}],"graph_snapshots":[{"event_id":"sha256:15c1dbbe88c2f5fa4bd4646e8692fee40de01427590d5fe709ccf8e82ea19c9d","target":"graph","created_at":"2026-07-05T10:25:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2503.04860/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Full 3D human pose reconstruction is a critical enabler for extended reality (XR) applications in future sixth generation (6G) networks, supporting immersive interactions in gaming, virtual meetings, and remote collaboration. However, achieving accurate pose reconstruction over wireless networks remains challenging due to channel impairments, bit errors, and quantization effects. Existing approaches often assume error-free transmission in indoor settings, limiting their applicability to real-world scenarios. To address these challenges, we propose a novel deep learning-based framework for huma","authors_text":"Carlos C. N. Kuhn, Diep N. Nguyen, Dinh Thai Hoang, Ibrahim Radwan, Mohammad Abu Alsheikh, Nguyen Quang Hieu, Yibeltal F. Alem","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-06T08:52:44Z","title":"End-to-End Human Pose Reconstruction from Wearable Sensors for 6G Extended Reality Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.04860","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:054ecdf4fafa99a483b625802a3322e9b3a29d6c5876f4d0ebd017a79f7d079b","target":"record","created_at":"2026-07-05T10:25:50Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"3dbc2782b06d63bc95d64a881c80516bd8fceb800225c97d8f0bf2654bbcee4c","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-06T08:52:44Z","title_canon_sha256":"536a4b231b8cf6c526782f166b307c6aa81aa32c413b39b33aae89815635c327"},"schema_version":"1.0","source":{"id":"2503.04860","kind":"arxiv","version":1}},"canonical_sha256":"71f5766093d8664569b654b034653ac368aaa8ba8ca598f18074ab7562d06161","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71f5766093d8664569b654b034653ac368aaa8ba8ca598f18074ab7562d06161","first_computed_at":"2026-07-05T10:25:50.564951Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:25:50.564951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XW05Rh86W6po/FzjQMFRAaf3q2+J8zdYMOHjrN/PzNkJ+5RvEIv4l4w4itKetmzOd0p9GSji4cVMTPRwFpJ8CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:25:50.565696Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.04860","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:054ecdf4fafa99a483b625802a3322e9b3a29d6c5876f4d0ebd017a79f7d079b","sha256:15c1dbbe88c2f5fa4bd4646e8692fee40de01427590d5fe709ccf8e82ea19c9d"],"state_sha256":"fd09b13976740b8569d5639d4d3ff368cbdc8b0990beb4d6893cca30bf5d4050"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Wr2jafNCrHCyslOfJ9WZpHDD0hZq74krGT9ooagrsjVNaY5ny3gFvnhiWStwKgXoSUDM0WjQyM7YrQl7wBbTBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T09:42:15.547100Z","bundle_sha256":"48e05e0dd668c9899f314ba4692d1951a2a1136ef16609c00b98d26d0f7cf34a"}}