{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:XACOXNMRL4ATQC5B35J3KHEHM4","short_pith_number":"pith:XACOXNMR","canonical_record":{"source":{"id":"1712.08604","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-22T18:25:00Z","cross_cats_sorted":[],"title_canon_sha256":"e12d8ca2467f23840c1375f5fac49d214a2517e0881a77bc008ed87e1c9ffbad","abstract_canon_sha256":"2294f7de6a6c2ebded3a14c9de4991c5e98753c1e1057bd35a0b19d625b886f0"},"schema_version":"1.0"},"canonical_sha256":"b804ebb5915f01380ba1df53b51c876703e31d4d42577ef5511d046b877fb464","source":{"kind":"arxiv","id":"1712.08604","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.08604","created_at":"2026-05-18T00:27:23Z"},{"alias_kind":"arxiv_version","alias_value":"1712.08604v1","created_at":"2026-05-18T00:27:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.08604","created_at":"2026-05-18T00:27:23Z"},{"alias_kind":"pith_short_12","alias_value":"XACOXNMRL4AT","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"XACOXNMRL4ATQC5B","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"XACOXNMR","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:XACOXNMRL4ATQC5B35J3KHEHM4","target":"record","payload":{"canonical_record":{"source":{"id":"1712.08604","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-22T18:25:00Z","cross_cats_sorted":[],"title_canon_sha256":"e12d8ca2467f23840c1375f5fac49d214a2517e0881a77bc008ed87e1c9ffbad","abstract_canon_sha256":"2294f7de6a6c2ebded3a14c9de4991c5e98753c1e1057bd35a0b19d625b886f0"},"schema_version":"1.0"},"canonical_sha256":"b804ebb5915f01380ba1df53b51c876703e31d4d42577ef5511d046b877fb464","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:27:23.005136Z","signature_b64":"GVBYtGCRgsa7WV5mnAboAQCYyDBSos3FhHPt1QC0Qnp5NDfwNdRBRFjMRiz3//+AD4GECvSLDX4us+jfUlkXDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b804ebb5915f01380ba1df53b51c876703e31d4d42577ef5511d046b877fb464","last_reissued_at":"2026-05-18T00:27:23.004591Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:27:23.004591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1712.08604","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":"2026-05-18T00:27:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wZcXSkqeIecWHCKUUV92tGKCRMmbz0pB2x+b7FUBUPe2rr4usWGRYn3UHGdfPQ/M6EREhhFBep2OAc+fqC+vAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T21:21:23.366600Z"},"content_sha256":"0474ea2901b8ab51ebf48640022870d47d9d5399517d9cd5c256524d46b6e97e","schema_version":"1.0","event_id":"sha256:0474ea2901b8ab51ebf48640022870d47d9d5399517d9cd5c256524d46b6e97e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:XACOXNMRL4ATQC5B35J3KHEHM4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Automated Surgical Skill Assessment in RMIS Training","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aneeq Zia, Irfan Essa","submitted_at":"2017-12-22T18:25:00Z","abstract_excerpt":"Purpose: Manual feedback in basic RMIS training can consume a significant amount of time from expert surgeons' schedule and is prone to subjectivity. While VR-based training tasks can generate automated score reports, there is no mechanism of generating automated feedback for surgeons performing basic surgical tasks in RMIS training. In this paper, we explore the usage of different holistic features for automated skill assessment using only robot kinematic data and propose a weighted feature fusion technique for improving score prediction performance.\n  Methods: We perform our experiments on t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.08604","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":""},"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":"2026-05-18T00:27:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DXfqwwUKrMNi9PHHXCnV+V0pEAGRHw+se3MABV3hO8N7IDlWbqU2VTs8ZPJR5TtPGGvllxWDJrA5jel3ANIfAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T21:21:23.367215Z"},"content_sha256":"1ef8ca0eb9f17d9f44951a6b2c6217d8b056483b7d93a58edb706bff6edf505a","schema_version":"1.0","event_id":"sha256:1ef8ca0eb9f17d9f44951a6b2c6217d8b056483b7d93a58edb706bff6edf505a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XACOXNMRL4ATQC5B35J3KHEHM4/bundle.json","state_url":"https://pith.science/pith/XACOXNMRL4ATQC5B35J3KHEHM4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XACOXNMRL4ATQC5B35J3KHEHM4/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":"2026-05-27T21:21:23Z","links":{"resolver":"https://pith.science/pith/XACOXNMRL4ATQC5B35J3KHEHM4","bundle":"https://pith.science/pith/XACOXNMRL4ATQC5B35J3KHEHM4/bundle.json","state":"https://pith.science/pith/XACOXNMRL4ATQC5B35J3KHEHM4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XACOXNMRL4ATQC5B35J3KHEHM4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:XACOXNMRL4ATQC5B35J3KHEHM4","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":"2294f7de6a6c2ebded3a14c9de4991c5e98753c1e1057bd35a0b19d625b886f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-22T18:25:00Z","title_canon_sha256":"e12d8ca2467f23840c1375f5fac49d214a2517e0881a77bc008ed87e1c9ffbad"},"schema_version":"1.0","source":{"id":"1712.08604","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1712.08604","created_at":"2026-05-18T00:27:23Z"},{"alias_kind":"arxiv_version","alias_value":"1712.08604v1","created_at":"2026-05-18T00:27:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.08604","created_at":"2026-05-18T00:27:23Z"},{"alias_kind":"pith_short_12","alias_value":"XACOXNMRL4AT","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"XACOXNMRL4ATQC5B","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"XACOXNMR","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:1ef8ca0eb9f17d9f44951a6b2c6217d8b056483b7d93a58edb706bff6edf505a","target":"graph","created_at":"2026-05-18T00:27:23Z","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"},"paper":{"abstract_excerpt":"Purpose: Manual feedback in basic RMIS training can consume a significant amount of time from expert surgeons' schedule and is prone to subjectivity. While VR-based training tasks can generate automated score reports, there is no mechanism of generating automated feedback for surgeons performing basic surgical tasks in RMIS training. In this paper, we explore the usage of different holistic features for automated skill assessment using only robot kinematic data and propose a weighted feature fusion technique for improving score prediction performance.\n  Methods: We perform our experiments on t","authors_text":"Aneeq Zia, Irfan Essa","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-22T18:25:00Z","title":"Automated Surgical Skill Assessment in RMIS Training"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.08604","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":"sha256:0474ea2901b8ab51ebf48640022870d47d9d5399517d9cd5c256524d46b6e97e","target":"record","created_at":"2026-05-18T00:27:23Z","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":"2294f7de6a6c2ebded3a14c9de4991c5e98753c1e1057bd35a0b19d625b886f0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-12-22T18:25:00Z","title_canon_sha256":"e12d8ca2467f23840c1375f5fac49d214a2517e0881a77bc008ed87e1c9ffbad"},"schema_version":"1.0","source":{"id":"1712.08604","kind":"arxiv","version":1}},"canonical_sha256":"b804ebb5915f01380ba1df53b51c876703e31d4d42577ef5511d046b877fb464","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b804ebb5915f01380ba1df53b51c876703e31d4d42577ef5511d046b877fb464","first_computed_at":"2026-05-18T00:27:23.004591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:27:23.004591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GVBYtGCRgsa7WV5mnAboAQCYyDBSos3FhHPt1QC0Qnp5NDfwNdRBRFjMRiz3//+AD4GECvSLDX4us+jfUlkXDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:27:23.005136Z","signed_message":"canonical_sha256_bytes"},"source_id":"1712.08604","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0474ea2901b8ab51ebf48640022870d47d9d5399517d9cd5c256524d46b6e97e","sha256:1ef8ca0eb9f17d9f44951a6b2c6217d8b056483b7d93a58edb706bff6edf505a"],"state_sha256":"34ac50f3271336303dc1697d088cb30fe708625c8e51a568b370988db547420a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/LU5eTgGq2WZOLzjaUUhAAyKXlMxxyvTdPS2TaiMqQRczeIt4u8JDis478Zxnb3JZvC4eQ+9VOrveFx8/TsSDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T21:21:23.369694Z","bundle_sha256":"49c1c588903161acdac264c6a54fe114f9f6708ba4097c327ba11b37ff2abc4a"}}