{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:URUWIBFYIQI3UPHJHERLAA637Z","short_pith_number":"pith:URUWIBFY","canonical_record":{"source":{"id":"2411.13716","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T21:27:13Z","cross_cats_sorted":[],"title_canon_sha256":"8e976ec41f075b9a60115e4cdc6d2516cc9382056c83bc93c9c1ebdf8e10bb5f","abstract_canon_sha256":"4380e56322b7ad9bbd00f20ca455cf94c5aaa187b69121afb8b2da03f6a5e496"},"schema_version":"1.0"},"canonical_sha256":"a4696404b84411ba3ce93922b003dbfe79989b2b00647bed05ae47ffdb5f19fc","source":{"kind":"arxiv","id":"2411.13716","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13716","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13716v1","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13716","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"pith_short_12","alias_value":"URUWIBFYIQI3","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"pith_short_16","alias_value":"URUWIBFYIQI3UPHJ","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"pith_short_8","alias_value":"URUWIBFY","created_at":"2026-07-05T09:38:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:URUWIBFYIQI3UPHJHERLAA637Z","target":"record","payload":{"canonical_record":{"source":{"id":"2411.13716","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T21:27:13Z","cross_cats_sorted":[],"title_canon_sha256":"8e976ec41f075b9a60115e4cdc6d2516cc9382056c83bc93c9c1ebdf8e10bb5f","abstract_canon_sha256":"4380e56322b7ad9bbd00f20ca455cf94c5aaa187b69121afb8b2da03f6a5e496"},"schema_version":"1.0"},"canonical_sha256":"a4696404b84411ba3ce93922b003dbfe79989b2b00647bed05ae47ffdb5f19fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:38:36.293817Z","signature_b64":"8a3df/uYrnK8DoERI8dMaOzHeXRuCrAIQ+jQQXmppyp3hFJllo7FSbYHjW4iy1vfDkbE/UQgszgOVINyV1zQBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4696404b84411ba3ce93922b003dbfe79989b2b00647bed05ae47ffdb5f19fc","last_reissued_at":"2026-07-05T09:38:36.293360Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:38:36.293360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.13716","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":"2026-07-05T09:38:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tZVfO9mGUi9vDIlbP0TP/Roa8ws0dHwMo8ORoz1eKZ9K3zFGqCYQYLhl7bne616/eEqh1hAl59WZsbAyBrJPDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:06:48.863019Z"},"content_sha256":"6f11a06162144d6d0e822a36b578f17f293e63205fdc4ae85d7e48ff72246652","schema_version":"1.0","event_id":"sha256:6f11a06162144d6d0e822a36b578f17f293e63205fdc4ae85d7e48ff72246652"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:URUWIBFYIQI3UPHJHERLAA637Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"David Ahmedt-Aristizabal, Juno Kim, Mohammad Ali Armin, Rahm Ranjan","submitted_at":"2024-11-20T21:27:13Z","abstract_excerpt":"Gait analysis using computer vision is an emerging field in AI, offering clinicians an objective, multi-feature approach to analyse complex movements. Despite its promise, current applications using RGB video data alone are limited in measuring clinically relevant spatial and temporal kinematics and establishing normative parameters essential for identifying movement abnormalities within a gait cycle. This paper presents a data-driven method using RGB video data and 2D human pose estimation for developing normative kinematic gait parameters. By analysing joint angles, an established kinematic "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13716","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/2411.13716/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":"2026-07-05T09:38:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9vdi+98SovNe1tdaBjhefZl6c6l5U5jE4N7yjY9Yi5VOX9QeDTgd9a0WN8XNmjzhCuaQ/szEezo9DwwG1G8BDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:06:48.863534Z"},"content_sha256":"dfda7633785761a0cce7fb0b44df6ba766ac3ccc56a1976c0d559de409326340","schema_version":"1.0","event_id":"sha256:dfda7633785761a0cce7fb0b44df6ba766ac3ccc56a1976c0d559de409326340"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/URUWIBFYIQI3UPHJHERLAA637Z/bundle.json","state_url":"https://pith.science/pith/URUWIBFYIQI3UPHJHERLAA637Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/URUWIBFYIQI3UPHJHERLAA637Z/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":"2026-08-04T21:06:48Z","links":{"resolver":"https://pith.science/pith/URUWIBFYIQI3UPHJHERLAA637Z","bundle":"https://pith.science/pith/URUWIBFYIQI3UPHJHERLAA637Z/bundle.json","state":"https://pith.science/pith/URUWIBFYIQI3UPHJHERLAA637Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/URUWIBFYIQI3UPHJHERLAA637Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:URUWIBFYIQI3UPHJHERLAA637Z","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":"4380e56322b7ad9bbd00f20ca455cf94c5aaa187b69121afb8b2da03f6a5e496","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T21:27:13Z","title_canon_sha256":"8e976ec41f075b9a60115e4cdc6d2516cc9382056c83bc93c9c1ebdf8e10bb5f"},"schema_version":"1.0","source":{"id":"2411.13716","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13716","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13716v1","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13716","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"pith_short_12","alias_value":"URUWIBFYIQI3","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"pith_short_16","alias_value":"URUWIBFYIQI3UPHJ","created_at":"2026-07-05T09:38:36Z"},{"alias_kind":"pith_short_8","alias_value":"URUWIBFY","created_at":"2026-07-05T09:38:36Z"}],"graph_snapshots":[{"event_id":"sha256:dfda7633785761a0cce7fb0b44df6ba766ac3ccc56a1976c0d559de409326340","target":"graph","created_at":"2026-07-05T09:38:36Z","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/2411.13716/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Gait analysis using computer vision is an emerging field in AI, offering clinicians an objective, multi-feature approach to analyse complex movements. Despite its promise, current applications using RGB video data alone are limited in measuring clinically relevant spatial and temporal kinematics and establishing normative parameters essential for identifying movement abnormalities within a gait cycle. This paper presents a data-driven method using RGB video data and 2D human pose estimation for developing normative kinematic gait parameters. By analysing joint angles, an established kinematic ","authors_text":"David Ahmedt-Aristizabal, Juno Kim, Mohammad Ali Armin, Rahm Ranjan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T21:27:13Z","title":"Developing Normative Gait Cycle Parameters for Clinical Analysis Using Human Pose Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13716","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":"sha256:6f11a06162144d6d0e822a36b578f17f293e63205fdc4ae85d7e48ff72246652","target":"record","created_at":"2026-07-05T09:38:36Z","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":"4380e56322b7ad9bbd00f20ca455cf94c5aaa187b69121afb8b2da03f6a5e496","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T21:27:13Z","title_canon_sha256":"8e976ec41f075b9a60115e4cdc6d2516cc9382056c83bc93c9c1ebdf8e10bb5f"},"schema_version":"1.0","source":{"id":"2411.13716","kind":"arxiv","version":1}},"canonical_sha256":"a4696404b84411ba3ce93922b003dbfe79989b2b00647bed05ae47ffdb5f19fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4696404b84411ba3ce93922b003dbfe79989b2b00647bed05ae47ffdb5f19fc","first_computed_at":"2026-07-05T09:38:36.293360Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:38:36.293360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8a3df/uYrnK8DoERI8dMaOzHeXRuCrAIQ+jQQXmppyp3hFJllo7FSbYHjW4iy1vfDkbE/UQgszgOVINyV1zQBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:38:36.293817Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.13716","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f11a06162144d6d0e822a36b578f17f293e63205fdc4ae85d7e48ff72246652","sha256:dfda7633785761a0cce7fb0b44df6ba766ac3ccc56a1976c0d559de409326340"],"state_sha256":"79c4aaf19b74776444e45605278293aeca0271c45268e7cf3368d734f711cd0a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"czImv985J0O2VHcavuMTHI7hJ0cDn0YQUCAEMHzPZtofvjzNVNsIQthXE1oBIbvw0b0jQFBDTvUKS0R2XqfWDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T21:06:48.868911Z","bundle_sha256":"8f1429f30ff399a23660c3c43438719dda01b47bab539cba90e64dc66b3b5940"}}