{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:QLJYIIT3MN73PCDWHQNCLCMXJE","short_pith_number":"pith:QLJYIIT3","canonical_record":{"source":{"id":"2006.06321","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-11T10:39:02Z","cross_cats_sorted":["cs.HC","cs.LG","cs.RO"],"title_canon_sha256":"ba3534834c896fd60528a32a3c92ebfb3ac32461395106b48eff8be9d5bd03bf","abstract_canon_sha256":"4b2e1151aef565db06a7663db7ba3717e232a481c34089a721e898b1e30c8364"},"schema_version":"1.0"},"canonical_sha256":"82d384227b637fb788763c1a258997490d9b71c5b9c6433b47a3c646a8626cf4","source":{"kind":"arxiv","id":"2006.06321","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.06321","created_at":"2026-07-05T02:23:57Z"},{"alias_kind":"arxiv_version","alias_value":"2006.06321v2","created_at":"2026-07-05T02:23:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.06321","created_at":"2026-07-05T02:23:57Z"},{"alias_kind":"pith_short_12","alias_value":"QLJYIIT3MN73","created_at":"2026-07-05T02:23:57Z"},{"alias_kind":"pith_short_16","alias_value":"QLJYIIT3MN73PCDW","created_at":"2026-07-05T02:23:57Z"},{"alias_kind":"pith_short_8","alias_value":"QLJYIIT3","created_at":"2026-07-05T02:23:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:QLJYIIT3MN73PCDWHQNCLCMXJE","target":"record","payload":{"canonical_record":{"source":{"id":"2006.06321","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-11T10:39:02Z","cross_cats_sorted":["cs.HC","cs.LG","cs.RO"],"title_canon_sha256":"ba3534834c896fd60528a32a3c92ebfb3ac32461395106b48eff8be9d5bd03bf","abstract_canon_sha256":"4b2e1151aef565db06a7663db7ba3717e232a481c34089a721e898b1e30c8364"},"schema_version":"1.0"},"canonical_sha256":"82d384227b637fb788763c1a258997490d9b71c5b9c6433b47a3c646a8626cf4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:23:57.298512Z","signature_b64":"4ZnrAivH34UHCkIFPzXwh8me6MThwyWkGilXVWGTH6lqIgJRGHUdvT/xcpn2tTdKS0jOg+SGzc9Uz7bZBv8UBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"82d384227b637fb788763c1a258997490d9b71c5b9c6433b47a3c646a8626cf4","last_reissued_at":"2026-07-05T02:23:57.298105Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:23:57.298105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.06321","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:23:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"80ESwmIa+Bdr2esPoXz4ES+KpHj219CY1AuGbacI/uEu9BW9RhWciMwP9EFZi6AFWAwIM3IDENaIR6oMgNyXDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:11:06.533653Z"},"content_sha256":"8c777bf02691b9c0e407e871b52eac769729ff985d493fa73fd2b7cfbe4ba907","schema_version":"1.0","event_id":"sha256:8c777bf02691b9c0e407e871b52eac769729ff985d493fa73fd2b7cfbe4ba907"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:QLJYIIT3MN73PCDWHQNCLCMXJE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Deep Learning Framework for Recognizing both Static and Dynamic Gestures","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.HC","cs.LG","cs.RO"],"primary_cat":"cs.CV","authors_text":"Andrea Cherubini, Osama Mazhar, Sofiane Ramdani","submitted_at":"2020-06-11T10:39:02Z","abstract_excerpt":"Intuitive user interfaces are indispensable to interact with the human centric smart environments. In this paper, we propose a unified framework that recognizes both static and dynamic gestures, using simple RGB vision (without depth sensing). This feature makes it suitable for inexpensive human-robot interaction in social or industrial settings. We employ a pose-driven spatial attention strategy, which guides our proposed Static and Dynamic gestures Network - StaDNet. From the image of the human upper body, we estimate his/her depth, along with the region-of-interest around his/her hands. The"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.06321","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2006.06321/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":"2026-07-05T02:23:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"94jUql1scyFBuun1g03FbE3qF47NwInfGxBymKofUaA5IHJCGTdzar7VMx6xWVNsFWykEIWbO0CwXivI8ir2DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T10:11:06.534174Z"},"content_sha256":"8bd7174ddc2becad79936b884c7827a06c8a75b40ed59c5b712cf69bf4107ed2","schema_version":"1.0","event_id":"sha256:8bd7174ddc2becad79936b884c7827a06c8a75b40ed59c5b712cf69bf4107ed2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QLJYIIT3MN73PCDWHQNCLCMXJE/bundle.json","state_url":"https://pith.science/pith/QLJYIIT3MN73PCDWHQNCLCMXJE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QLJYIIT3MN73PCDWHQNCLCMXJE/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":"2026-08-22T10:11:06Z","links":{"resolver":"https://pith.science/pith/QLJYIIT3MN73PCDWHQNCLCMXJE","bundle":"https://pith.science/pith/QLJYIIT3MN73PCDWHQNCLCMXJE/bundle.json","state":"https://pith.science/pith/QLJYIIT3MN73PCDWHQNCLCMXJE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QLJYIIT3MN73PCDWHQNCLCMXJE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:QLJYIIT3MN73PCDWHQNCLCMXJE","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":"4b2e1151aef565db06a7663db7ba3717e232a481c34089a721e898b1e30c8364","cross_cats_sorted":["cs.HC","cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-11T10:39:02Z","title_canon_sha256":"ba3534834c896fd60528a32a3c92ebfb3ac32461395106b48eff8be9d5bd03bf"},"schema_version":"1.0","source":{"id":"2006.06321","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.06321","created_at":"2026-07-05T02:23:57Z"},{"alias_kind":"arxiv_version","alias_value":"2006.06321v2","created_at":"2026-07-05T02:23:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.06321","created_at":"2026-07-05T02:23:57Z"},{"alias_kind":"pith_short_12","alias_value":"QLJYIIT3MN73","created_at":"2026-07-05T02:23:57Z"},{"alias_kind":"pith_short_16","alias_value":"QLJYIIT3MN73PCDW","created_at":"2026-07-05T02:23:57Z"},{"alias_kind":"pith_short_8","alias_value":"QLJYIIT3","created_at":"2026-07-05T02:23:57Z"}],"graph_snapshots":[{"event_id":"sha256:8bd7174ddc2becad79936b884c7827a06c8a75b40ed59c5b712cf69bf4107ed2","target":"graph","created_at":"2026-07-05T02:23:57Z","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/2006.06321/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Intuitive user interfaces are indispensable to interact with the human centric smart environments. In this paper, we propose a unified framework that recognizes both static and dynamic gestures, using simple RGB vision (without depth sensing). This feature makes it suitable for inexpensive human-robot interaction in social or industrial settings. We employ a pose-driven spatial attention strategy, which guides our proposed Static and Dynamic gestures Network - StaDNet. From the image of the human upper body, we estimate his/her depth, along with the region-of-interest around his/her hands. The","authors_text":"Andrea Cherubini, Osama Mazhar, Sofiane Ramdani","cross_cats":["cs.HC","cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-11T10:39:02Z","title":"A Deep Learning Framework for Recognizing both Static and Dynamic Gestures"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.06321","kind":"arxiv","version":2},"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":"sha256:8c777bf02691b9c0e407e871b52eac769729ff985d493fa73fd2b7cfbe4ba907","target":"record","created_at":"2026-07-05T02:23:57Z","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":"4b2e1151aef565db06a7663db7ba3717e232a481c34089a721e898b1e30c8364","cross_cats_sorted":["cs.HC","cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-11T10:39:02Z","title_canon_sha256":"ba3534834c896fd60528a32a3c92ebfb3ac32461395106b48eff8be9d5bd03bf"},"schema_version":"1.0","source":{"id":"2006.06321","kind":"arxiv","version":2}},"canonical_sha256":"82d384227b637fb788763c1a258997490d9b71c5b9c6433b47a3c646a8626cf4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82d384227b637fb788763c1a258997490d9b71c5b9c6433b47a3c646a8626cf4","first_computed_at":"2026-07-05T02:23:57.298105Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:23:57.298105Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4ZnrAivH34UHCkIFPzXwh8me6MThwyWkGilXVWGTH6lqIgJRGHUdvT/xcpn2tTdKS0jOg+SGzc9Uz7bZBv8UBA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:23:57.298512Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.06321","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c777bf02691b9c0e407e871b52eac769729ff985d493fa73fd2b7cfbe4ba907","sha256:8bd7174ddc2becad79936b884c7827a06c8a75b40ed59c5b712cf69bf4107ed2"],"state_sha256":"b9589cdf3e3fb631639a3136516ba72685eddf3b3bccef96e1b07bf733fcbf0e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KbP77bZaYpghkjxDI871jiZB5pOqfvBpHCnEoYfDR2kxCAnKcXcXKTWh8TcH8J8eCUODHcQNiqsCkHdGzC6UCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T10:11:06.539171Z","bundle_sha256":"cf15e954f91f856d3aadbaad05657021f26bcb37975a8477dde8158a3e9be6cb"}}