{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:5N4FVUL4ZQBLUOLWBSFUDGRZSO","short_pith_number":"pith:5N4FVUL4","canonical_record":{"source":{"id":"2106.10102","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-18T12:53:40Z","cross_cats_sorted":[],"title_canon_sha256":"bc9b7f697755432f6830dc3bde094f646495d4be4e21f7782f8bb7f42b831b69","abstract_canon_sha256":"72aa963ba3a4628767838d322ee8aff3399e0124b0faf80bf8974889de32b001"},"schema_version":"1.0"},"canonical_sha256":"eb785ad17ccc02ba39760c8b419a39938d8b1c2d92be4bb82e9e5c10803918a8","source":{"kind":"arxiv","id":"2106.10102","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.10102","created_at":"2026-07-05T02:50:33Z"},{"alias_kind":"arxiv_version","alias_value":"2106.10102v1","created_at":"2026-07-05T02:50:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.10102","created_at":"2026-07-05T02:50:33Z"},{"alias_kind":"pith_short_12","alias_value":"5N4FVUL4ZQBL","created_at":"2026-07-05T02:50:33Z"},{"alias_kind":"pith_short_16","alias_value":"5N4FVUL4ZQBLUOLW","created_at":"2026-07-05T02:50:33Z"},{"alias_kind":"pith_short_8","alias_value":"5N4FVUL4","created_at":"2026-07-05T02:50:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:5N4FVUL4ZQBLUOLWBSFUDGRZSO","target":"record","payload":{"canonical_record":{"source":{"id":"2106.10102","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-18T12:53:40Z","cross_cats_sorted":[],"title_canon_sha256":"bc9b7f697755432f6830dc3bde094f646495d4be4e21f7782f8bb7f42b831b69","abstract_canon_sha256":"72aa963ba3a4628767838d322ee8aff3399e0124b0faf80bf8974889de32b001"},"schema_version":"1.0"},"canonical_sha256":"eb785ad17ccc02ba39760c8b419a39938d8b1c2d92be4bb82e9e5c10803918a8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:50:33.443646Z","signature_b64":"cqBjdp4R7Ul9f+egTRFu6JvjNDXx4fWprAkAATwNj4g607Pt03eLMvUEYB+nMkwal4/605RT9VKasZQ/Xj+ABQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eb785ad17ccc02ba39760c8b419a39938d8b1c2d92be4bb82e9e5c10803918a8","last_reissued_at":"2026-07-05T02:50:33.443127Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:50:33.443127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2106.10102","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":"2026-07-05T02:50:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sNmBLOJmg2z3M/TfBw/Woy3D+adh604gsMsQOvsVobOfBnkFOLYfj15C1yuxx7Z4x8+AzXfCLR3yygNQuT4aDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T05:23:52.088020Z"},"content_sha256":"1267fd6ebd0e3143e22ebbdd28ca91d41d70bfc0c264572ae123c0d79c97d5f7","schema_version":"1.0","event_id":"sha256:1267fd6ebd0e3143e22ebbdd28ca91d41d70bfc0c264572ae123c0d79c97d5f7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:5N4FVUL4ZQBLUOLWBSFUDGRZSO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"hSMAL: Detailed Horse Shape and Pose Reconstruction for Motion Pattern Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ci Li, Elin Hernlund, Hedvig Kjellstr\\\"om, Maheen Rashid, Michael J. Black, Nima Ghorbani, Silvia Zuffi, Sofia Broom\\'e","submitted_at":"2021-06-18T12:53:40Z","abstract_excerpt":"In this paper we present our preliminary work on model-based behavioral analysis of horse motion. Our approach is based on the SMAL model, a 3D articulated statistical model of animal shape. We define a novel SMAL model for horses based on a new template, skeleton and shape space learned from $37$ horse toys. We test the accuracy of our hSMAL model in reconstructing a horse from 3D mocap data and images. We apply the hSMAL model to the problem of lameness detection from video, where we fit the model to images to recover 3D pose and train an ST-GCN network on pose data. A comparison with the sa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.10102","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/2106.10102/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":"2026-07-05T02:50:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IdG7/DDnIuJsWRTqYjGzjavo3P3cTLIRSPya6tpCKEAFRFcNRU27lQWmZnBIwJ1VGomP1LpE0fulrBqzAqQ9AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-26T05:23:52.088421Z"},"content_sha256":"2f38033d697b4d75414f06468d05e57498205eaf7a8f36845979f512b70d9830","schema_version":"1.0","event_id":"sha256:2f38033d697b4d75414f06468d05e57498205eaf7a8f36845979f512b70d9830"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5N4FVUL4ZQBLUOLWBSFUDGRZSO/bundle.json","state_url":"https://pith.science/pith/5N4FVUL4ZQBLUOLWBSFUDGRZSO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5N4FVUL4ZQBLUOLWBSFUDGRZSO/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":"2026-07-26T05:23:52Z","links":{"resolver":"https://pith.science/pith/5N4FVUL4ZQBLUOLWBSFUDGRZSO","bundle":"https://pith.science/pith/5N4FVUL4ZQBLUOLWBSFUDGRZSO/bundle.json","state":"https://pith.science/pith/5N4FVUL4ZQBLUOLWBSFUDGRZSO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5N4FVUL4ZQBLUOLWBSFUDGRZSO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:5N4FVUL4ZQBLUOLWBSFUDGRZSO","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":"72aa963ba3a4628767838d322ee8aff3399e0124b0faf80bf8974889de32b001","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-18T12:53:40Z","title_canon_sha256":"bc9b7f697755432f6830dc3bde094f646495d4be4e21f7782f8bb7f42b831b69"},"schema_version":"1.0","source":{"id":"2106.10102","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.10102","created_at":"2026-07-05T02:50:33Z"},{"alias_kind":"arxiv_version","alias_value":"2106.10102v1","created_at":"2026-07-05T02:50:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.10102","created_at":"2026-07-05T02:50:33Z"},{"alias_kind":"pith_short_12","alias_value":"5N4FVUL4ZQBL","created_at":"2026-07-05T02:50:33Z"},{"alias_kind":"pith_short_16","alias_value":"5N4FVUL4ZQBLUOLW","created_at":"2026-07-05T02:50:33Z"},{"alias_kind":"pith_short_8","alias_value":"5N4FVUL4","created_at":"2026-07-05T02:50:33Z"}],"graph_snapshots":[{"event_id":"sha256:2f38033d697b4d75414f06468d05e57498205eaf7a8f36845979f512b70d9830","target":"graph","created_at":"2026-07-05T02:50:33Z","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/2106.10102/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we present our preliminary work on model-based behavioral analysis of horse motion. Our approach is based on the SMAL model, a 3D articulated statistical model of animal shape. We define a novel SMAL model for horses based on a new template, skeleton and shape space learned from $37$ horse toys. We test the accuracy of our hSMAL model in reconstructing a horse from 3D mocap data and images. We apply the hSMAL model to the problem of lameness detection from video, where we fit the model to images to recover 3D pose and train an ST-GCN network on pose data. A comparison with the sa","authors_text":"Ci Li, Elin Hernlund, Hedvig Kjellstr\\\"om, Maheen Rashid, Michael J. Black, Nima Ghorbani, Silvia Zuffi, Sofia Broom\\'e","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-18T12:53:40Z","title":"hSMAL: Detailed Horse Shape and Pose Reconstruction for Motion Pattern Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.10102","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":"sha256:1267fd6ebd0e3143e22ebbdd28ca91d41d70bfc0c264572ae123c0d79c97d5f7","target":"record","created_at":"2026-07-05T02:50:33Z","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":"72aa963ba3a4628767838d322ee8aff3399e0124b0faf80bf8974889de32b001","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-18T12:53:40Z","title_canon_sha256":"bc9b7f697755432f6830dc3bde094f646495d4be4e21f7782f8bb7f42b831b69"},"schema_version":"1.0","source":{"id":"2106.10102","kind":"arxiv","version":1}},"canonical_sha256":"eb785ad17ccc02ba39760c8b419a39938d8b1c2d92be4bb82e9e5c10803918a8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eb785ad17ccc02ba39760c8b419a39938d8b1c2d92be4bb82e9e5c10803918a8","first_computed_at":"2026-07-05T02:50:33.443127Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:50:33.443127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"cqBjdp4R7Ul9f+egTRFu6JvjNDXx4fWprAkAATwNj4g607Pt03eLMvUEYB+nMkwal4/605RT9VKasZQ/Xj+ABQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:50:33.443646Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.10102","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1267fd6ebd0e3143e22ebbdd28ca91d41d70bfc0c264572ae123c0d79c97d5f7","sha256:2f38033d697b4d75414f06468d05e57498205eaf7a8f36845979f512b70d9830"],"state_sha256":"45ac7b92d653fee999eb7b725f49d881418f1efedddb2777dc6ebdfd996beebe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i1yEYuWR7dTsCIKgG4JnMKSQD5b8Ai8/WBnCeHmxIrRtlBC139hmHopIGnFab3h7qArSDWEpxsWiC7l4mC1ZBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-26T05:23:52.091020Z","bundle_sha256":"e6f1c214a6e3e1b0388baf9e087ff4629524da37af7b6761ef745a3bbceb06b2"}}