{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:CGJEWRXI2UQAFRHW6VRXT7P5W2","short_pith_number":"pith:CGJEWRXI","canonical_record":{"source":{"id":"2003.01450","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-03T11:05:35Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"7ee2946f1a726c439c9493d08989fda9d0e37f89cd5784bf3d0ba1ef61a5357c","abstract_canon_sha256":"2e240942c2aa19ad7c22c03506a2a66ae1484c85046e31700c33508f51814417"},"schema_version":"1.0"},"canonical_sha256":"11924b46e8d52002c4f6f56379fdfdb6bd95c8c53c3448b37ae52d28197d7452","source":{"kind":"arxiv","id":"2003.01450","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.01450","created_at":"2026-07-05T01:32:36Z"},{"alias_kind":"arxiv_version","alias_value":"2003.01450v3","created_at":"2026-07-05T01:32:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.01450","created_at":"2026-07-05T01:32:36Z"},{"alias_kind":"pith_short_12","alias_value":"CGJEWRXI2UQA","created_at":"2026-07-05T01:32:36Z"},{"alias_kind":"pith_short_16","alias_value":"CGJEWRXI2UQAFRHW","created_at":"2026-07-05T01:32:36Z"},{"alias_kind":"pith_short_8","alias_value":"CGJEWRXI","created_at":"2026-07-05T01:32:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:CGJEWRXI2UQAFRHW6VRXT7P5W2","target":"record","payload":{"canonical_record":{"source":{"id":"2003.01450","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-03T11:05:35Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"7ee2946f1a726c439c9493d08989fda9d0e37f89cd5784bf3d0ba1ef61a5357c","abstract_canon_sha256":"2e240942c2aa19ad7c22c03506a2a66ae1484c85046e31700c33508f51814417"},"schema_version":"1.0"},"canonical_sha256":"11924b46e8d52002c4f6f56379fdfdb6bd95c8c53c3448b37ae52d28197d7452","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:32:36.093647Z","signature_b64":"eC/KCTl66JU3aumu/O/NZdcQrtfQ9Kt04cGR8PT6yZEHG/dCXuj3xERN21ANKVdzcovEPJEyY8bRThU9PlQ6DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"11924b46e8d52002c4f6f56379fdfdb6bd95c8c53c3448b37ae52d28197d7452","last_reissued_at":"2026-07-05T01:32:36.093245Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:32:36.093245Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.01450","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:32:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6FcqOJirH2N1d3NLvqLZ0O3cCtDA6N3C7PX265nl1EmPi0owhLfzlZjDdjIgbf+8IoWOR6jCFmz3V+VvUSZkBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T11:53:01.323471Z"},"content_sha256":"7e1deb3be494654dbe488c7b36949d556a21121aeae7f7bef55dda445258759c","schema_version":"1.0","event_id":"sha256:7e1deb3be494654dbe488c7b36949d556a21121aeae7f7bef55dda445258759c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:CGJEWRXI2UQAFRHW6VRXT7P5W2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"3D dynamic hand gestures recognition using the Leap Motion sensor and convolutional neural networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Andrea Ranieri, Franca Giannini, Katia Lupinetti, Marina Monti","submitted_at":"2020-03-03T11:05:35Z","abstract_excerpt":"Defining methods for the automatic understanding of gestures is of paramount importance in many application contexts and in Virtual Reality applications for creating more natural and easy-to-use human-computer interaction methods. In this paper, we present a method for the recognition of a set of non-static gestures acquired through the Leap Motion sensor. The acquired gesture information is converted in color images, where the variation of hand joint positions during the gesture are projected on a plane and temporal information is represented with color intensity of the projected points. The "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.01450","kind":"arxiv","version":3},"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/2003.01450/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":"2026-07-05T01:32:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nJJGddbB0UcdHTQHlW1X903qCrNDn+VjrL3JQWPVtgGKhs5Ovx2KKrz5EBdgYmT6dHv45qC3fu45Afx/eXKVDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T11:53:01.324001Z"},"content_sha256":"31e9ff2865bdd10d713e930605204344bbfe5e73ed0f97ca2752b7d57ef46fb8","schema_version":"1.0","event_id":"sha256:31e9ff2865bdd10d713e930605204344bbfe5e73ed0f97ca2752b7d57ef46fb8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CGJEWRXI2UQAFRHW6VRXT7P5W2/bundle.json","state_url":"https://pith.science/pith/CGJEWRXI2UQAFRHW6VRXT7P5W2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CGJEWRXI2UQAFRHW6VRXT7P5W2/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":"2026-08-23T11:53:01Z","links":{"resolver":"https://pith.science/pith/CGJEWRXI2UQAFRHW6VRXT7P5W2","bundle":"https://pith.science/pith/CGJEWRXI2UQAFRHW6VRXT7P5W2/bundle.json","state":"https://pith.science/pith/CGJEWRXI2UQAFRHW6VRXT7P5W2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CGJEWRXI2UQAFRHW6VRXT7P5W2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CGJEWRXI2UQAFRHW6VRXT7P5W2","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":"2e240942c2aa19ad7c22c03506a2a66ae1484c85046e31700c33508f51814417","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-03T11:05:35Z","title_canon_sha256":"7ee2946f1a726c439c9493d08989fda9d0e37f89cd5784bf3d0ba1ef61a5357c"},"schema_version":"1.0","source":{"id":"2003.01450","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.01450","created_at":"2026-07-05T01:32:36Z"},{"alias_kind":"arxiv_version","alias_value":"2003.01450v3","created_at":"2026-07-05T01:32:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.01450","created_at":"2026-07-05T01:32:36Z"},{"alias_kind":"pith_short_12","alias_value":"CGJEWRXI2UQA","created_at":"2026-07-05T01:32:36Z"},{"alias_kind":"pith_short_16","alias_value":"CGJEWRXI2UQAFRHW","created_at":"2026-07-05T01:32:36Z"},{"alias_kind":"pith_short_8","alias_value":"CGJEWRXI","created_at":"2026-07-05T01:32:36Z"}],"graph_snapshots":[{"event_id":"sha256:31e9ff2865bdd10d713e930605204344bbfe5e73ed0f97ca2752b7d57ef46fb8","target":"graph","created_at":"2026-07-05T01:32:36Z","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/2003.01450/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Defining methods for the automatic understanding of gestures is of paramount importance in many application contexts and in Virtual Reality applications for creating more natural and easy-to-use human-computer interaction methods. In this paper, we present a method for the recognition of a set of non-static gestures acquired through the Leap Motion sensor. The acquired gesture information is converted in color images, where the variation of hand joint positions during the gesture are projected on a plane and temporal information is represented with color intensity of the projected points. The ","authors_text":"Andrea Ranieri, Franca Giannini, Katia Lupinetti, Marina Monti","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-03T11:05:35Z","title":"3D dynamic hand gestures recognition using the Leap Motion sensor and convolutional neural networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.01450","kind":"arxiv","version":3},"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":"sha256:7e1deb3be494654dbe488c7b36949d556a21121aeae7f7bef55dda445258759c","target":"record","created_at":"2026-07-05T01:32:36Z","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":"2e240942c2aa19ad7c22c03506a2a66ae1484c85046e31700c33508f51814417","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-03T11:05:35Z","title_canon_sha256":"7ee2946f1a726c439c9493d08989fda9d0e37f89cd5784bf3d0ba1ef61a5357c"},"schema_version":"1.0","source":{"id":"2003.01450","kind":"arxiv","version":3}},"canonical_sha256":"11924b46e8d52002c4f6f56379fdfdb6bd95c8c53c3448b37ae52d28197d7452","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"11924b46e8d52002c4f6f56379fdfdb6bd95c8c53c3448b37ae52d28197d7452","first_computed_at":"2026-07-05T01:32:36.093245Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:32:36.093245Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eC/KCTl66JU3aumu/O/NZdcQrtfQ9Kt04cGR8PT6yZEHG/dCXuj3xERN21ANKVdzcovEPJEyY8bRThU9PlQ6DA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:32:36.093647Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.01450","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7e1deb3be494654dbe488c7b36949d556a21121aeae7f7bef55dda445258759c","sha256:31e9ff2865bdd10d713e930605204344bbfe5e73ed0f97ca2752b7d57ef46fb8"],"state_sha256":"601999e3d53c93d171767c2f8a88083a81219f5fb9014bdefcd7aa8f847a9213"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"M7JN1NoiuxjGxpbYTXb6q2wn3rx2RuyfQniChdmoJBzIGdbAFuB73xRVona2RYDnKx75yAvR2EARpeFwrXArAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T11:53:01.331514Z","bundle_sha256":"2a37071f3063668c20c10c46fbf2acf754bd3a8b4c06a9554933a42ed9decea3"}}