{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:5QJD3N223OJJG7GAUBSWIDTLJC","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":"b57decfbeb76dbc363cd126a245b49f9616a2895a71abbfa12e17d521d4925b9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-10T14:56:54Z","title_canon_sha256":"0fcaa3bcfefe6155c524adb5db0c4510ad37634cb1266ec57b7335c473fb49d1"},"schema_version":"1.0","source":{"id":"2401.05202","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.05202","created_at":"2026-07-05T11:53:39Z"},{"alias_kind":"arxiv_version","alias_value":"2401.05202v2","created_at":"2026-07-05T11:53:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.05202","created_at":"2026-07-05T11:53:39Z"},{"alias_kind":"pith_short_12","alias_value":"5QJD3N223OJJ","created_at":"2026-07-05T11:53:39Z"},{"alias_kind":"pith_short_16","alias_value":"5QJD3N223OJJG7GA","created_at":"2026-07-05T11:53:39Z"},{"alias_kind":"pith_short_8","alias_value":"5QJD3N22","created_at":"2026-07-05T11:53:39Z"}],"graph_snapshots":[{"event_id":"sha256:fd24bbb4ae87e1fa89a39975d8c40f43fea78960031485b8a9eeb14d38bbe561","target":"graph","created_at":"2026-07-05T11:53:39Z","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/2401.05202/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study presents an automated lameness detection system that uses deep-learning image processing techniques to extract multiple locomotion traits associated with lameness. Using the T-LEAP pose estimation model, the motion of nine keypoints was extracted from videos of walking cows. The videos were recorded outdoors, with varying illumination conditions, and T-LEAP extracted 99.6% of correct keypoints. The trajectories of the keypoints were then used to compute six locomotion traits: back posture measurement, head bobbing, tracking distance, stride length, stance duration, and swing duratio","authors_text":"Eldert J. van Henten, Gert Kootstra, Helena Russello, Menno Holzhauer, Rik van der Tol","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-10T14:56:54Z","title":"Video-based automatic lameness detection of dairy cows using pose estimation and multiple locomotion traits"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.05202","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":"sha256:5ed0286e7396289fb356fd542c62705702b8afce1442aa72905085a6115f5edc","target":"record","created_at":"2026-07-05T11:53:39Z","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":"b57decfbeb76dbc363cd126a245b49f9616a2895a71abbfa12e17d521d4925b9","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-10T14:56:54Z","title_canon_sha256":"0fcaa3bcfefe6155c524adb5db0c4510ad37634cb1266ec57b7335c473fb49d1"},"schema_version":"1.0","source":{"id":"2401.05202","kind":"arxiv","version":2}},"canonical_sha256":"ec123db75adb92937cc0a065640e6b48a1a73119e4e676f002c076b1f106a378","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec123db75adb92937cc0a065640e6b48a1a73119e4e676f002c076b1f106a378","first_computed_at":"2026-07-05T11:53:39.984138Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:53:39.984138Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eAueFloXdKNHLtQx4QHjB3J7RTrqHzXXuma4x8kTm5tUnULc/Z9ILYYRdi9wJTP9lihFkZhPDYtK6UacDleQBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:53:39.984654Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.05202","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5ed0286e7396289fb356fd542c62705702b8afce1442aa72905085a6115f5edc","sha256:fd24bbb4ae87e1fa89a39975d8c40f43fea78960031485b8a9eeb14d38bbe561"],"state_sha256":"09f6632fb26195341168613e6af8db29fa604e953d0a40f429adb43b9ed2b4ef"}